[ImageJ-devel] Bug in creation of CompositeXYProjectors in DefaultDatasetView
Aivar Grislis
grislis at wisc.edu
Mon Jul 15 17:28:17 CDT 2013
> I believe ImageJ1 treats it [RGBCMY] as additive. Look at the sample
> "Organ of Corti" -- the current behavior of ImageJ2 causes that sample
> to appear the same as it does in IJ1. Before we added the
> bounds-checking code, it erroneously wrapped pixel values.
By not being additive I meant C is a secondary color composed of
primaries G & B, etc. In the sense of
http://en.wikipedia.org/wiki/Additive_color .
Okay, "Organ of Corti" uses RGBK (and K is even worse than my example of
C since it has all three RGB components not just G & B) and yet it works
as an image. It's useful because the areas lit up in each channel are
fairly distinct. If these areas overlapped the bounds-checking code
would come into play in the overlapping pixels and some highlights would
get squashed and some colors distorted (when one component is squashed
but not the others). But even if the code did a better job of combining
the colors of overlapping areas you'd still have visual ambiguity in
these areas (since eyes can't distinguish C from G + B). So now I'm
thinking the code works well as is.
> It was intended to be more general than only the cases Aivar
> mentioned, and instead provided additive support for *any* color table
> per channel you throw at it, the same as ImageJ1's CompositeImages do.
Sure, it shouldn't crash and burn if you put Fire on one channel and Ice
on another but that's not usable visually unless the areas lit up in
each channel are distinct. If you have a lot of overlap and you want
the colors to add up meaningfully you're better off sticking with
primary additive colors for your channel LUTs.
On 7/15/13 3:53 PM, Curtis Rueden wrote:
> Hi all,
>
> > the bigger issue is RGBCMY is not an additive color system.
>
> I believe ImageJ1 treats it as additive. Look at the sample "Organ of
> Corti" -- the current behavior of ImageJ2 causes that sample to appear
> the same as it does in IJ1. Before we added the bounds-checking code,
> it erroneously wrapped pixel values.
>
> As for the alpha stuff, I will try to digest and reply soon but I am
> way too tired at this moment. I just wanted to clarify why the code is
> the way it is. It was intended to be more general than only the cases
> Aivar mentioned, and instead provided additive support for *any* color
> table per channel you throw at it, the same as ImageJ1's
> CompositeImages do.
>
> Regards,
> Curtis
>
>
> On Mon, Jul 15, 2013 at 3:46 PM, Aivar Grislis <grislis at wisc.edu
> <mailto:grislis at wisc.edu>> wrote:
>
> I think CompositeXYProjector is meant to handle the following cases:
>
> 1) Rendering LUT images, a single converter is used. Grayscale
> images are included here.
>
> 2) Rendering RGB images, three converters are used. These use
> red-only, green-only, and blue-only LUTs.
>
> 3) I believe it's also intended to work with images with > 3
> channels, using C, M, and Y for the excess channels.
>
> The existing code works well for cases 1 & 2. Case 3 adds the
> possibility of overflow, if your red converter gives you a value
> of 255 for the red component but your magenta converter adds
> another 255. Currently the code just limits the value to 255 in
> that case. Some sort of blending might work better here, but the
> bigger issue is RGBCMY is not an additive color system. If you see
> a cyan blotch you don't know if its in both the G & B channels or
> just the C channel.
>
> Aivar
>
>
>
> On 7/15/13 2:40 PM, Lee Kamentsky wrote:
>> Thanks for answering Aivar,
>>
>> I think what your reply did for me is to have me take a step back
>> and consider what we're modeling. If you look at my replies
>> below, I think that the best solution is to use a model where the
>> background is white and each successive layer filters out some of
>> that background, like a gel. A layer attenuates the underlying
>> layer by a fraction of (1 - alpha/255 * (1 - red/255)), resulting
>> in no attenuation for 255 and attenuation of alpha/255 for zero.
>> We can then use a red converter that returns a value of 255 for
>> the blue and green channels and the model and math work correctly.
>>
>> On Mon, Jul 15, 2013 at 1:59 PM, Aivar Grislis <grislis at wisc.edu
>> <mailto:grislis at wisc.edu>> wrote:
>>
>>> I have an ImgPlus backed by an RGB PlanarImg of
>>> UnsignedByteType and ARGBType.alpha(value) is 255 for all of
>>> them, so aSum is 765. It would appear that the correct
>>> solution would be to divide aSum by 3.
>> Isn't it unusual to define an alpha for each color component,
>> generally you have a single A associated with a combined
>> RGB? So averaging the three alphas might make sense here,
>> because I think they should all be the same value.
>>
>> I think you're right, the model always is that each pixel has an
>> alpha value that applies to R, G and B. The image I was using was
>> the Clown example image. DefaultDatasetView.initializeView
>> constructs three RealLUTConverters for the projector, one for
>> red, one for green and one for blue which sends you down this
>> rabbit hole.
>>
>>> In addition, there's no scaling of the individual red, green
>>> and blue values by their channel's alpha. If the input were
>>> two index-color images, each of which had different alphas,
>>> the code should multiply the r, g and b values by the alphas
>>> before summing and then divide by the total alpha in the
>>> end. The alpha in this case *should* be the sum of alphas
>>> divided by the number of channels.
>> I think alpha processing is more cumulative, done layer by
>> layer in some defined layer order. For a given pixel say the
>> current output pixel value is ARGB1 and you are compositing a
>> second image with value ARGB2 on top of it: For the red
>> channel the output color should be ((255 - alpha(ARGB2)) *
>> red(ARGB1) + alpha(ARGB2) * red(ARGB2)) / 255. The alpha of
>> ARGB1 is not involved.
>>
>> I think that's a valid interpretation. I've always used
>> (alpha(ARGB1) * red(ARGB1) + alpha(ARGB2) * red(ARGB2)) /
>> (alpha(ARGB1) + alpha(ARGB2)) because I assumed the alpha
>> indicated the
>> strength of the blending of each source. In any case, the code as
>> it stands doesn't do either of these.
>>
>>
>> In other words, if you add a layer that is completely opaque
>> you no longer have to consider any of the colors or alpha
>> values underneath it.
>>
>>
>> I think the bigger issue here is this code is specifically
>> designed to composite red, green and blue image layers. It's
>> a special case since for a given pixel the red comes from the
>> red layer, blue from blue layer, and green from green layer.
>> These layers shouldn't be completely opaque, since the colors
>> wouldn't combine at all then or completely transparent since
>> then they wouldn't contribute any color. I don't think
>> transparency is useful here.
>>
>> So this is an argument for blending instead of layering -
>> transparency would be useful if the images were blended and
>> treated as if on a par with each other, allowing the user to
>> emphasize one channel or the other.
>>
>>
>> It's also possible that a multichannel image with > 3
>> channels is being displayed with more color channels, namely
>> cyan, magenta, and yellow. The code here is designed to stop
>> overflow, but I'm not convinced those extended color channels
>> would combine meaningfully.
>>
>> Aivar
>>
>>> In addition, there's no scaling of the individual red, green
>>> and blue values by their channel's alpha. If the input were
>>> two index-color images, each of which had different alphas,
>>> the code should multiply the r, g and b values by the alphas
>>> before summing and then divide by the total alpha in the
>>> end. The alpha in this case *should* be the sum of alphas
>>> divided by the number of channels.
>> I think alpha processing is cumulative layer by layer.
>>
>> This brings up some interesting questions:
>>
>> 1) If the first, bottom-most layer is transparent, what color
>> should show through? Black, white? Or perhaps it's best to
>> ignore this base layer transparency.
>>
>> Maybe the model should be that the background is white and
>> successive layers are like gel filters on top. In that case,
>> you'd have:
>> red = (255 - alpha(ARGB2) *(255 - red(ARGB2))/255) * red(ARGB1)
>>
>> And maybe that points to what the true solution is. For the
>> default, we could change things so that red channel would have
>> blue = 255 and green = 255 and the first composition would change
>> only the red channel.
>>
>>
>> 2) If you wanted to composite several transparent images, how
>> do you calculate the transparency of the composite? I'm not
>> sure this is something we need to do.
>>
>> Aivar
>>
>>
>> On 7/15/13 10:31 AM, Lee Kamentsky wrote:
>>> Hi all,
>>> I'm looking at the code for
>>> net.imglib2.display.CompositeXYProjector and as I step
>>> through it, it's clear that the alpha calculation isn't
>>> being handled correctly. Here's the code as it stands now,
>>> line 190 roughly:
>>>
>>> for ( int i = 0; i < size; i++ )
>>> {
>>> sourceRandomAccess.setPosition( currentPositions[ i ],
>>> dimIndex );
>>> currentConverters[ i ].convert( sourceRandomAccess.get(), bi );
>>> // accumulate converted result
>>> final int value = bi.get();
>>> final int a = ARGBType.alpha( value );
>>> final int r = ARGBType.red( value );
>>> final int g = ARGBType.green( value );
>>> final int b = ARGBType.blue( value );
>>> aSum += a;
>>> rSum += r;
>>> gSum += g;
>>> bSum += b;
>>> }
>>> if ( aSum > 255 )
>>> aSum = 255;
>>> if ( rSum > 255 )
>>> rSum = 255;
>>> if ( gSum > 255 )
>>> gSum = 255;
>>> if ( bSum > 255 )
>>> bSum = 255;
>>> targetCursor.get().set( ARGBType.rgba( rSum, gSum, bSum,
>>> aSum ) );
>>>
>>> I have an ImgPlus backed by an RGB PlanarImg of
>>> UnsignedByteType and ARGBType.alpha(value) is 255 for all of
>>> them, so aSum is 765. It would appear that the correct
>>> solution would be to divide aSum by 3. In addition, there's
>>> no scaling of the individual red, green and blue values by
>>> their channel's alpha. If the input were two index-color
>>> images, each of which had different alphas, the code should
>>> multiply the r, g and b values by the alphas before summing
>>> and then divide by the total alpha in the end. The alpha in
>>> this case *should* be the sum of alphas divided by the
>>> number of channels.
>>>
>>> However, I think the problem is deeper than that. For an RGB
>>> ImgPlus, there are three LUTs and each of them has an alpha
>>> of 255, but that alpha only applies to one of the colors in
>>> the LUT. When you're compositing images and weighing them
>>> equally, if two are black and one is white, then the result
>>> is 1/3 of the white intensity - if you translate that to
>>> red, green and blue images, the resulting intensity will be
>>> 1/3 of that desired. This might sound weird, but the only
>>> solution that works out mathematically is for the
>>> defaultLUTs in the DefaultDatasetView to use color tables
>>> that return values that are 3x those of ColorTables.RED,
>>> GREEN and BLUE. Thinking about it, I'm afraid this *is* the
>>> correct model and each channel really is 3x brighter than
>>> possible.
>>>
>>> It took me quite a bit of back and forth to come up with the
>>> above... I hope you all understand what I'm saying and
>>> understand the problem and counter-intuitive solution and
>>> have the patience to follow it. Dscho, if you made it this
>>> far - you're the mathematician, what's your take?
>>>
>>> --Lee
>>>
>>>
>>> _______________________________________________
>>> ImageJ-devel mailing list
>>> ImageJ-devel at imagej.net <mailto:ImageJ-devel at imagej.net>
>>> http://imagej.net/mailman/listinfo/imagej-devel
>>
>>
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