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diff --git a/content/posts/led-characterization/index.rst b/content/posts/led-characterization/index.rst deleted file mode 100644 index 6a8c7ee..0000000 --- a/content/posts/led-characterization/index.rst +++ /dev/null @@ -1,500 +0,0 @@ ---- -title: "LED Characterization" -date: 2018-05-02T11:18:38+02:00 ---- - -Preface -------- - -Recently, I have been working on a `small driver`_ for ambient lighting using 12V LED strips like you can get -inexpensively from China. I wanted to be able to just throw one of these somewhere, stick down some LED tape, hook it up -to a small transformer and be able to control it through Wifi. When I was writing the firmware, I noticed that when -fading between different colors, the colors look *all wrong*! This observation led me down a rabbit hole of color -perception and LED peculiarities. - -The idea of the LED driver was that it can be used either with up to eight single-color LED tapes or, much more -interesting, with up to two RGB or RGBW (red-green-blue-white) LED tapes. For ambient lighting high color resolution was -really important so you could dim it down a lot without flickering. I ended up using the same driver stage I used in the -`multichannel LED driver`_ project for its great color resolution and low hardware requirements. - -.. raw:: html - - <figure> - <img src="images/rgb_cube.svg" alt="An illustration of the RGB color cube."> - <figcaption>An illustration of the RGB color cube. - <a href="https://commons.wikimedia.org/wiki/File:RGB_color_cube.svg">Picture</a> by - <a href="https://commons.wikimedia.org/wiki/User:Maklaan">Maklaan from Wikimedia Commons</a>, - <a href="https://creativecommons.org/licenses/by-sa/3.0/">CC-BY-SA 3.0</a> - </figcaption> - </figure> - -To make setting colors over Wifi more intuitive I implemented support for HSV colors. RGB is fine for communication -between computers, but I think HSV is easier to work with when manually inputting colors from the command line. RGB is -close to how most monitors, cameras and the human visual apparatus work on a very low level but doesn't match -higher-level human color perception very well. When we describe a color we tend to think in terms of "hue" or -"brightness", and computing a measure of those from RGB values is not easy. - -Colors and Color Spaces ------------------------ - -`Color spaces`_ are a mathematical abstraction of the concept of color. When we say "RGB", most of the time we actually -mean `sRGB`_, a standardized notion of how to map three numbers labelled "red", "green" and "blue" onto a perceived -color. `HSV`_ is an early attempt to more closely align these numbers with our perception. After HSV, a number of other -*perceptual* color spaces such as `XYZ (CIE 1931)`_ and `CIE Lab/LCh`_ were born, further improving this alignment. In -this mathematical model, mapping a color from one color space into another color space is just a coordinate -transformation. - -.. raw:: html - - <figure> - <img src="images/hsv_cylinder.png" alt="An illustration of the HSV color space as a cylinder."> - <figcaption>An illustration of the HSV color space as a cylinder. - <a href="https://commons.wikimedia.org/wiki/File:HSV_color_solid_cylinder.png">Picture</a> by - <a href="https://commons.wikimedia.org/wiki/User:SharkD">SharkD from Wikimedia Commons</a>, - <a href="https://creativecommons.org/licenses/by-sa/3.0/">CC-BY-SA 3.0</a> - </figcaption> - </figure> - -CIE 1931 XYZ is much larger than any other color space, which is why it is a good basis to express other color spaces -in. In XYZ there are many coordinates that are outside of what the human eye can perceive. Below is an illustration of -the sRGB space within XYZ. The wireframe cube is (0,0,0) to (1,1,1) in XYZ. The colorful object in the middle is what -of sRGB fits inside XYZ, and the lines extending out from it indicate the space that can be expressed in sRGB but not in -XYZ. The fat white curve is a projection of the *monochromatic spectral locus*, that is the curve of points you get in -XYZ for pure visible wavelengths. - -As you can see, sRGB is *much* smaller than XYZ or even the part within the monochromatic locus that we can perceive. In -particular in the blues and greens we loose *a lot* of colors to sRGB. - -.. raw:: html - - <figure> - <video controls loop> - <source src="video/sRGB.mkv" type="video/h264"> - <source src="video/sRGB.webm" type="video/webm"> - Your browser does not support the HTML5 video tag. - </video> - <figcaption>Illustration of the measured sRGB color space within XYZ. The thick, white line is the spectral - locus. - - <a href="video/sRGB.mkv">mkv/h264 download</a> / - <a href="video/sRGB.webm">webm download</a> - </figcaption> - </figure> - -The wrong colors I got when fading between colors were caused by this coordinate transformation being askew. Thinking -over the problem, there are several sources for imperfections: - -* The LED driver may not be entirely linear. For most modulations such as PWM the brightness will be linear starting - from a certain value, but there is probably an offset caused by imperfect edges of the LED current. This offset can be - compensated with software calibration. I built a calibration setup for driver linearity in the `multichannel LED - driver`_ project. Below are pictures of ringing on the edges of an LED driver's waveform. - -* The red, green and blue channels of the LEDs used on the LED tape are not matched. This skews the RGB color space. - In practice, the blue channel of my RGB tape to me *looks* much brighter than the red channel. - -* The precise colors of the red, green and blue channels of the LEDs are unknown. Though the red channel *looks* red, it - may be of a slightly different hue compared to the reference red used in `sRGB`_ which would also skew the RGB color - space. - -.. raw:: html - - <figure> - <figure class="side-by-side"> - <img src="images/driver_ringing_strong.jpg" alt="Strong ringing on the LED voltage waveform edge at about - 100% overshoot during about 70% of the cycle time."> - <figcaption>The LED strip being at the end of a couple meters of wire caused extremely bad ringing at high - driving frequencies.</figcaption> - </figure><figure class="side-by-side"> - <img src="images/driver_ringing_weak.jpg" alt="Weak ringing on the LED voltage waveform edge at about 30% - overshoot during about 20% of the cycle time."> - <figcaption>Adding a resistor in front of the MOSFET gate to slow the transition dampened the ringing - somewhat, but ultimately it cannot be eliminated entirely.</figcaption> - </figure> - </figure> - -These last two errors are tricky to compensate. What I needed for that was basically a model of the *perceived* colors -of the LED tape's color channels. A way of doing his is to record the spectra of all color channels and then evaluate -their respective XYZ coordinates. If all three channels are measured in one go with the same setup the relative -magnitudes of the channels in XYZ will be accurate. - -To map any color to the LEDs, the color's XYZ coordinates simply have to be mapped onto the linear coordinate system -produced by these three points within XYZ. LEDs are mostly linear in their luminous flux vs. current characteristic so -this model will be adequate. The spectral integrals mapping the channels' measured responses to XYZ need only be -calculated once and their results can be used as scaling factors thereafter. - -Measuring the spectrum ----------------------- - -In order to compensate for the cheap LED tape's non-ideal performance I had to measure the LED's red, green and blue -channels' spectra. The obvious thing would be to go out and buy a `spectrograph`_, or ask someone to borrow theirs. The -former is kind of expensive, and I did not want to wait two weeks for the thing to arrive. The latter I could probably -not do every time I got new LED tape. Thus the only choice was to build my own. - -Luckily, building your own spectrometer is really easy. The first thing you need is something that splits incident light -into its constituent wavelengths. In professional devices this is called the *`monochromator`_*, since it allows extraction -of small color bands from the spectrum. The second thing is some sort of optics that project the incident light onto a -screen behind the monochromator. In professional devices lenses or curved mirrors are used. In a simple homebrew job a -pinhole as you would use in a `camera obscura`_ does a remarkably nice job. - -For the monochromator component several things could be used. A prism would work, but I did not have any. The -alternative is a `diffraction grating`_. Professional gratings are quite specialized pieces of equipment and thus -rather expensive. Luckily, there is a common household item that works almost as well: A regular CD or DVD. The -microscopic grooves that are used to record data in a CD or DVD work the same as the grooves in a professional -diffraction grating. - -Household spectra ------------------ - -From this starting point, a few seconds on my favorite search engine yielded an `article by two researchers from the -National Science Museum in Tokyo`_ providing a nice blueprint for a simple cardboard-and-DVD construction for use in -classrooms. I replicated their device using a DVD and it worked beautifully. Daylight and several types of small LEDs I -had around did show the expected spectra. Small red, yellow, green, and blue LEDs showed narrow spectra, daylight one -continuous broad one, and white LEDs a continuous broad one with a distinct bright spot in the blue part. The -single-color LED spectra are quite narrow since they are determined by the LED's semiconductor's band gap, which is -specific to the semiconductor used and is quite precise. White LEDs are in fact a blue LED chip covered with a so-called -*phosphor*. This phosphor is not elementary phosphorus but an anorganic compound that absorbs the LED chip's blue light -and re-emits a broader spectrum of more yellow-ish wavelengths instead. The final LED spectrum is a superposition of -both spectra, with some of the original blue light leaking through the phosphor mixing with the broadband yellow -spectrum of the phosphor. - -.. raw:: html - - <figure> - <figure class="side-by-side"> - <img src="images/spectrograph_step1_parts.jpg"> - <figcaption>The ingredients. The cup of coffee and Madoka Magica DVD set are essential to the eventual - function of the appartus.</figcaption> - </figure><figure class="side-by-side"> - <img src="images/spectrograph_step2.jpg"> - <figcaption>Step 1: Cut to size and mark down all holes as described in <a - href="http://www.candac.ca/candacweb/sites/default/files/BuildaSpectroscope.pdf">the manual</a></figcaption> - </figure> - <figure class="side-by-side"> - <img src="images/spectrograph_step3.jpg"> - <figcaption>Step 2: Cut out all holes</figcaption> - </figure><figure class="side-by-side"> - <img src="images/spectrograph_step4_complete.jpg"> - <figcaption>The finished result with the back side showing. The viewing window is on the bottom of the other - side.</figcaption> - </figure> - </figure> - - -Now that I had a spectrograph, I needed a somewhat predictable way of measuring the spectrum it gave me. - -Measuring a spectrum --------------------- - -Pointing a camera at the spectrograph would be the obvious thing to do. This produces pretty images but has one critical -flaw: I wanted to acquire quantitative measurements of brightness across the spectrum. Since I don't have a precise -technical datasheet specifying the spectral response of any of my cameras I can't compare the absolute brightness of -different colors on their pictures. Some other sensor was needed. - -.. raw:: html - - <figure> - <img src="images/daylight_spectrum_dvd.jpg"> - <figcaption>The daylight spectrum as seen using a DVD as a grating. - <a href="https://commons.wikimedia.org/wiki/File:SpectresSolaires-DVD.jpg">Picture</a> by - <a href="https://commons.wikimedia.org/wiki/User:Xofc">Xofc from Wikimedia Commons</a>, - <a href="https://creativecommons.org/licenses/by-sa/4.0/">CC-BY-SA 4.0</a> - </figcaption> - </figure> - - -Measuring light intensity -~~~~~~~~~~~~~~~~~~~~~~~~~ - -Looking around my lab, I found a bag of `SFH2701`_ visible-light photodiodes. Their -datasheet includes their spectral response so I can compensate for that, allowing precise-ish absolute intensity -measurements. Just like LEDs, photodiodes are extremely linear across several orders of magnitude. The datasheet of the -classic `BPW34`_ photodiode shows that this photodiode's light current is exactly proportional to illuminance over at -least three orders of magnitude. The `SFH2701`_ datasheet does not include a similar graph but its performance will be -similar. The `SFH2701`_ photodiodes I had at hand were perfect for the job compared to the vintage `BPW34`_ since their -active sensing area is really small (0.6mm by 0.6mm) compared to the BPW34 (a whopping 3mm by 3mm). If I were to use a -`BPW34`_ I would have to insert some small apterture in front of it so it does not catch too broad a part of the -spectrum at once. The `SFH2701`_ is small enough that if I just point it at the projected spectrum directly I will -already get only a small part of the spectrum inside its 0.6mm active area. - -To convert the photodiode's tiny photocurrent into a measurable voltage I built another copy of the `transimpedance -amplifier`_ circuit I already used in the `multichannel LED driver`_. A `transimpedance amplifier`_ is an -amplifiert that produces a large voltage from a small current. The weird name comes from the fact that it works kind of -like an amplified resistor (which can be generalized as an *impedance* electrically). Apply a current to a resistor and -you get a voltage. A transimpedance amplifiert does the same with the difference that its input always stays at 0V, -making it look like an ideal current sink to the connected current source. - -Transimpedance amplifiers are common in optoelectronics to convert small photocurrents to voltages. In this instance I -built a very simple circuit with a dampened transimpedance amplifier stage followed by a simple RC filter for noise -rejection and a regular non-inverting amplifier using another op-amp from the same chip to further boost the filtered -transimpedance amplifier output. I put all the passives setting amplifier response (the gain-setting resistors and the -filter resistor and capacitors) on a small removable adapter so I could easily change them if necessary. I put a small -trimpot on the virtual ground both amplifers use as a reference so I could trim that if necessary. - -.. raw:: html - - <figure> - <img src="images/preamp_schematic.jpg" alt="A drawing of the photodiode preamplifier's schematic"> - <figcaption>The photodiode preamplifier schematic. Schematic drawn with an unlicensed copy of - DaveCAD.</figcaption> - </figure> - -Following are pictures of the preamplifier board. The connectors on the top-left side are two copies of the analog -signal for the ADC and a small panel meter. The SMA connector is used as the photodiode input since coax cables are -generally low-leakage and have built-in shielding. The circuit is powered via the micro-USB connector and the analog -ground bias voltage can be adjusted using the trimpot. - -For easy replacement, all passives setting gain and frequency response are on a small, pluggable carrier PCB made from a -SMD-to-DIP adapter. - -Flying-wire construction is just fine for this low-frequency circuit. In a high-speed photodiode preamp, the -transimpedance amplifier circuit would be highly sensitive to stray capacitance, but we're not aiming at high speed -here. - -.. raw:: html - - <figure> - <figure class="side-by-side"> - <img src="images/preamp_front.jpg"> - <figcaption>The front side of the preamplifier board.</figcaption> - </figure><figure class="side-by-side"> - <img src="images/preamp_back.jpg"> - <figcaption>The wiring of the photodiode preamp.</figcaption> - </figure> - </figure> - -Given a way to measure intensity what remains missing is a way to scan a single photodiode across the spectrum. - -Scanning the projection -~~~~~~~~~~~~~~~~~~~~~~~ - -A cheap linear stage can be found in any old CD or DVD drive. These drives use a small linear stage based on a -stepper-driven screw to move the laser unit radially. Removing the laser unit and connecting a leftover stepper driver -module I was left with a small linear stage with about 45 steps per cm without microstepping enabled. The driver I used -was an `A4988`_ module that required at least 8V motor drive voltage. I used a small micro USB-input boost converter -module to generate a stable 10V supply for the motor driver, with the USB's 5V rail used as a logic supply for the motor -driver. - -The `SFH2701`_ can easily be mounted to the linear stage using a small SMD breakout board glued in place with thin wires -connecting it to the transimpedance amplifier. The DVD drive linear stage is not very strong so it is important that -this wire does not put too much strain on it. - -Above the photodiode, I mounted a small piece of paper on the linear stage to be used as a projection screen to align -the linear stage in front of the spectrometer viewing window. A line on the screen paper points to the photodiode die in -parallel to the linear stage allowing precise alignment. - -The whole unit with photodiode preamplifier, linear stage, photodiode and stepper motor driver finally looks like this: - -.. raw:: html - - <figure> - <img src="images/electronics_whole.jpg" alt="The complete electronics setup of the spectrograph. In the back - there is the DVD drive stepper stage. In front of it, mounted on a piece of wood are a small USB-to-12V - switching-regulator module to power the stepper motor in the top left, below on the bottom left is the - photodiode preamp and on the right is a breadboard with the stepper driver module and lots of jumper wires - interconnecting everything. On the right of the breadboard, a buspirate is attached to interface everything to a - computer. On the bottom edge of the piece of wood, two LED panel meters are mounted for readout of the preamp - output and the stepper supply voltages."> - <figcaption>The complete electronics setup. The buspirate on the right interfaces to a computer and controls the - stepper driver and ADC'es the preamp output. The two panel meters show the preamp output and stepper voltage for - setup.</figcaption> - </figure> - -The projection of the spectrum can be adjusted by moving the light source relative to the entry slot and by moving -around the grating DVD. - -The capture process -~~~~~~~~~~~~~~~~~~~ - -To capture a spectrum, first the light source has to be mounted near the spectrograph's entry slot. The LED tape I -tested I just taped face-down directly into it. Next, the grating DVD has to be adjusted to make sure the spectrum -covers a sensible part of the photodiode's path. Mostly, this boils down to adjusting the photodiode distance and height -to match the vertical extent and wiggling the grating DVD to adjust the projection's horizontal position. - -After the optics are set-up, the photodiode preamplifier has to be adjusted. In my experiments, most LED tape at 5GΩ -required a high-ish amplification. The goal in this step is to maximize the peak response of the preamp to be just -shy of its VCC rail to make best use of its dynamic range. To adjust the pre-amp, I took several very coarsely-spaced -measurements to give me an estimate of the peak while I did not yet know its precise location. - -Since stray daylight totally swamped out the weak projection of the LED's spectrum I shielded the entire setup with a -small box made of black cardboard and two black t-shirts on top. This shielding proved adequate for all my measurements -but I had to be careful not to accidentially move the DVD that was stuck into the spectrograph with the shielding -t-shirts. - -For capturing a single spectrum I wrote a small python script that will automatically move the stepper in adjustable -intervals and take two measurements at each point, one with the LED tape off that can be used for offset calibration and -one with the LED tape on. All measurements are stored in a sqlite database that can then be accesssed from other -scripts. - -I built a small script that shows the progress of the current run and an jupyter notebook for data analysis. The jupyter -notebook is capable of live-updating a graph with the in-progress spectrum's data. This was quite useful as a sanity -check for when I made some mistake easy to spot in the resulting data. - -After one color channel is captured, the LED tape has to be manually set to the next color and the next measurement can -begin. - -.. raw:: html - - <figure> - <img src="images/raw_plot_cheap_rgb.svg" alt="A plot with three wide peaks, two large peaks on both sides and - one smaller one in the middle. The middle one overlaps the two on the sides. The large ones are about 2.5V in - amplitude. Overall, the plot is about 300 stepper steps wide with each peak being around 130 steps wide."> - <figcaption>A plot of the raw preamp output voltage versus stepper position. From left to right, the three peaks - are blue, green and red. Step 0 corresponds to the bottommost stepper position and the shortest wavelength. - </figcaption> - </figure> - - -Data analysis -~~~~~~~~~~~~~ - -Data analysis consists of three major steps: Offset- and stray light removal, wavelength and amplitude calibration and -color space mapping. - -Offset removal -************** -The first task is to remove the offset caused by dark current as well as stray light of the LED's bright primary -reflection on the DVD. The LED is very bright and only a small part of its light gets reflected by the grating towards -the photodiode screen. The remaining part of the light is reflected onto the table in front of the DVD spectrograph. -Though I covered all of this with black cardboard, some of that light ultimately gets reflected onto the photodiode. -This causes a large offset, in particular in the blue part of the spectrum since in this part the photodiode is closest -to the spectrograph's opening. - -The composite offset can be approximated with a second-order polynomial that is fitted to all the data outside of the -main peak's area. Since at this point the wavelength of each data point is still unknown this is done with a rough first -estimate of the three colors' peaks' locations and widths. - -Wavelength- and amplitude calibration -************************************* -The photodiode's response is strongly wavelength-dependent. In particular in the blue band, the photodiode's sensitivity -gets very poor down to about 20% at the edge to ultraviolet. This effect is strong enough to move the apparent location -of the blue peak towards red. - -.. raw:: html - - <figure> - <img src="images/photodiode_sensitivity.svg" alt="A plot of photodiode sensitivity against wavelength relative - to peak sensitivity at 820nm. The sensitivity rises from 20% at 380nm approximately linearly to 80% at 620nm, - then the rise rolls off."> - <figcaption>A plot of the photodiode's relative sensitivity in the visible spectrum. The sensitivity is - normalized against its peak at 820nm. - </figcaption> - </figure> - -The problem is that in order to remove this non-linearity, we would already have to know the wavelength of the measured -light. Since I don't, I settled for a two-step process. First, a coarse wavelength calibration is done relative to the -red peak and the short-wavelength edge of the blue peak. The photodiode measurements are then sensitivity-corrected -using this coarse measurement. Then all three channel peaks are measured in the resulting data and a fine wavelength -estimate is produced by a least-squares fit of a linear function. This fine estimate is then used for a second -sensitivity correction of all original measurements and the scale is changed from stepper motor step count to -wavelength in nanometers. - -.. raw:: html - - <figure> - <img src="images/processed_plot_cheap_rgb.svg" alt="A plot with three wide peaks, all three of different - heights. The leftmost peak is highest at 6nA, the middle peak lowest at 1.6nA and the rightmost peak in between - at 4nA. The middle one overlaps the two on the sides. Overall, the plot spans about 300nm on its x axis with - each peak being around 100nm wide."> - <figcaption>A plot of the processed measurements. From left to right, the three peaks are blue, green and red. - </figcaption> - </figure> - -.. FIXME re-do these measurements, avoiding clipping -.. FIXME re-do calibration using CCFL -.. FIXME calibration for brightness imbalance due to wedge-shaped projection of spectrum - -Color space mapping -******************* -Finally, to achieve the objective of measuring the LED tape's channels' precise color coordinates the measured spetra -have to be matched against the color spaces' *color matching functions*. The color matching functions describe how -strong the color space's idealized *standard observer* would react to light at a particular wavelength. Going from a -measured spectrum to color coordinates XYZ works by integrating over the product of the measurement and each color -coordinate's color matching function. - -The result are three color coordinates X, Y and Z for each channel R, G and B yielding nine coordinates in total. When -written as a matrix conversion between XYZ color space and LED-RGB color space is as simple as multiplying that matrix -(or its inverse) and a vector from one of the color spaces. - -In XYZ space, the set of colors that can be produced with this LED tape is described by the `parallelepiped`_ spanned by -the three channel's XYZ vectors. In the following figures, you can see a three-dimensional model of the RGB LED's color -space (colorful) as well as sRGB (white) for comparison plotted within CIE 1931 XYZ. There is no natural map to scale -both so for this illustration the LED color space has been scaled to fit. These figures were made with blender and a few -lines of python. The blender project file including all settings and the python script to generate the color space -models can be found in the `project repo`_. - -.. raw:: html - - <figure> - <video controls loop> - <source src="video/led_within_srgb_scale=1.0.mkv" type="video/h264"> - <source src="video/led_within_srgb_scale=1.0.webm" type="video/webm"> - Your browser does not support the HTML5 video tag. - </video> - <figcaption>Illustration of the measured LED color space scaled to fit within XYZ with sRGB (light gray) for - comparison. The thick, white line is the spectral locus. - - <a href="video/led_within_srgb_scale=1.0.mkv">mkv/h264 download</a> / - <a href="video/led_within_srgb_scale=1.0.webm">webm download</a> - </figcaption> - </figure> - -As you can see, the result is pretty disappointing. The LED's color space parallepiped is very narrow, which is because -the blue channel is much brighter than the other two channels. An easy fix for this is to scale-up the RGB space and -drop any values outside XYZ. The scaling factor is a trade-off between color space coverage and brightness. You can -produce the most colors when you clip all channels to brightness of the weakest channel (green in this case), but that -will make the result very dim. Scaling brightness like that stretches the RGB parallelepiped along its major axis. Up to -a point the number of possible colors (the gamut) increases at expense of maximum brightness. When the parallelepiped is -stretched far enought for all three channel vectors to be outside the 1,1,1 XYZ-cube, maximum brightness continues to -decrease but the gamut stays constant. I don't know a simple scientific way to solve this problem, so I just played -around with a couple of factors and settled on 2.5 as a reasonable compromise. Below is an illustration. - -.. raw:: html - - <figure> - <video controls loop> - <source src="video/led_within_srgb_fancy_camera_path_scale=2.5.mkv" type="video/h264"> - <source src="video/led_within_srgb_fancy_camera_path_scale=2.5.webm" type="video/webm"> - Your browser does not support the HTML5 video tag. - </video> - <figcaption>Illustration of the measured LED color space at scale factor 2.5 within XYZ with sRGB (light gray) - for comparison. The thick, white line is the spectral locus. - - <a href="video/led_within_srgb_fancy_camera_path_scale=2.5.mkv">mkv/h264 download</a> / - <a href="video/led_within_srgb_fancy_camera_path_scale=2.5.webm">webm download</a> - </figcaption> - </figure> - -Firmware implementation ------------------------ -In the end, the above measurements yield two matrices: One for mapping XYZ to RGB, and one for mapping RGB to XYZ. Of -the several versions of CIE XYZ I chose the CIE 1931 XYZ color space as a basis for the firmware because it is most -popular. Mapping a color coordinate in one color space to the other is as simple as performing nine floating-point -multiplications and six additions. Mapping Lab or Lch to RGB is done by first mapping Lab/Lch to XYZ, then XYZ to RGB. -Lab to XYZ is somewhat complex since it requires a floating-point power for gamma correction, but any self-respecting -libc will have one of those so this is still no problem. Lch also requires floating-point sine and cosine functions, but -these should still be no problem on most hardware. - -My implementation of these conversions in the ESP8266 firmware of my `Wifi LED driver`_ can be found `on Github`_. You -can view the Jupyter notebook most of the analysis above `here <http://nbviewer.jupyter.org/github/jaseg/led_drv/blob/master/doc/Spectrum%20Measurement.ipynb>`__. - -.. _`on Github`: https://github.com/jaseg/esp_led_drv/blob/master/user/led_controller.c -.. _`project repo`: https://github.com/jaseg/led_drv -.. _`Wifi LED driver`: {{<ref "posts/wifi-led-driver/index.rst">}} -.. _`small driver`: {{<ref "posts/wifi-led-driver/index.rst">}} -.. _`multichannel LED driver`: {{<ref "posts/multichannel-led-driver/index.rst">}} -.. _`sRGB`: https://en.wikipedia.org/wiki/SRGB -.. _`CC BY-SA 3.0`: https://creativecommons.org/licenses/by-sa/3.0 -.. _`Color spaces`: https://en.wikipedia.org/wiki/Color_space -.. _`HSV`: https://en.wikipedia.org/wiki/HSL_and_HSV -.. _`CIE Lab/LCh`: https://en.wikipedia.org/wiki/Lab_color_space -.. _`XYZ (CIE 1931)`: https://en.wikipedia.org/wiki/CIE_1931_color_space -.. _`camera obscura`: https://en.wikipedia.org/wiki/Pinhole_camera -.. _`article by two researchers from the National Science Museum in Tokyo`: http://www.candac.ca/candacweb/sites/default/files/BuildaSpectroscope.pdf -.. _`spectrograph`: https://en.wikipedia.org/wiki/Ultraviolet%E2%80%93visible_spectroscopy -.. _`monochromator`: https://en.wikipedia.org/wiki/Monochromator -.. _`diffraction grating`: https://en.wikipedia.org/wiki/Diffraction_grating -.. _`SFH2701`: https://dammedia.osram.info/media/resource/hires/osram-dam-2495903/SFH%202701.pdf -.. _`BPW34`: http://www.vishay.com/docs/81521/bpw34.pdf -.. _`transimpedance amplifier`: https://en.wikipedia.org/wiki/Transimpedance_amplifier -.. _`A4988`: https://www.pololu.com/file/0J450/A4988.pdf -.. _`parallelepiped`: https://en.wikipedia.org/wiki/Parallelepiped |