From f9eb6b86d28020d9292219573445dabb6b6928b5 Mon Sep 17 00:00:00 2001 From: jaseg Date: Sun, 13 May 2018 18:02:25 +0200 Subject: Export drafts --- docs/posts/led-characterization/index.html | 459 +++++++++++++++++++++++++++++ 1 file changed, 459 insertions(+) create mode 100644 docs/posts/led-characterization/index.html (limited to 'docs/posts/led-characterization/index.html') diff --git a/docs/posts/led-characterization/index.html b/docs/posts/led-characterization/index.html new file mode 100644 index 0000000..06f369f --- /dev/null +++ b/docs/posts/led-characterization/index.html @@ -0,0 +1,459 @@ + + + + + + Led Characterization | jaseg.net + + + +
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Led Characterization

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2018/05/02

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+

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.

+
+ An illustration of the RGB color cube. +
An illustration of the RGB color cube. + Picture by + Maklaan from Wikimedia Commons, + CC-BY-SA 3.0 +
+

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.

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+
+

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.

+
+ An illustration of the HSV color space as a cylinder. +
An illustration of the HSV color space as a cylinder. + Picture by + SharkD from Wikimedia Commons, + CC-BY-SA 3.0 +
+

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.

+
+ +
Illustration of the measured sRGB color space within XYZ. The thick, white line is the spectral + locus. + + mkv/h264 download / + webm download +
+

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:

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    +
  • 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.
  • +
+
+
+ Strong ringing on the LED voltage waveform edge at about
+        100% overshoot during about 70% of the cycle time. +
The shift register logic output of the multichannel LED driver directly driving a small mosfet's + gate through an inch or so of PCB trace caused extremely bad ringing at high driving + frequencies.
+
+ Weak ringing on the LED voltage waveform edge at about 30%
+        overshoot during about 20% of the cycle time. +
Adding a resistor dampened the ringing somewhat, but ultimately it cannot be eliminated + entirely.
+
+

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.

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+

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.

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+

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.

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+
+ +
The ingredients. The cup of coffee and Madoka Magica DVD set are essential to the eventual + function of the appartus.
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Step 1: Cut to size and mark down all holes as described in the manual
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Step 2: Cut out all holes
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+ +
The finished result with the back side showing. The viewing window is on the bottom of the other + side.
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+

Now that I had a spectrograph, I needed a somewhat predictable way of measuring the spectrum it gave me.

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+
+

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.

+
+ +
The daylight spectrum as seen using a DVD as a grating. + Picture by + Xofc from Wikimedia Commons, + CC-BY-SA 4.0 +
+
+

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.

+
+ A drawing of the photodiode preamplifier's schematic +
The photodiode preamplifier schematic. Schematic drawn with an unlicensed copy of + DaveCAD.
+

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.

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+ +
The front side of the preamplifier board.
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+ +
The wiring of the photodiode preamp.
+
+

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:

+
+ 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. +
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.
+

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.

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+

The capture process

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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.

+
+ 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. +
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. +
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+
+

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.

+

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.

+
+ 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. +
A plot of the processed measurements. From left to right, the three peaks are blue, green and red. +
+
+ + +
+
+

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.

+
+ +
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. + + mkv/h264 download / + webm download +
+

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.

+
+ +
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. + + mkv/h264 download / + webm download +
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+
+
+

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.

+
+
+
+ + + + + -- cgit