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Add support to reproduce the dynamic range bug in PSNR

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I think some academic paper has this bug.
This commit is contained in:
nagadomi 2015-11-25 14:33:38 +09:00
parent b829595c21
commit 4551ddaaa6
1 changed files with 10 additions and 3 deletions
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13
tools/benchmark.lua
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@ -23,6 +23,7 @@ cmd:option("-noise_level", 1, 'model noise level')
cmd:option("-jpeg_quality", 75, 'jpeg quality')
cmd:option("-jpeg_times", 1, 'jpeg compression times')
cmd:option("-jpeg_quality_down", 5, 'value of jpeg quality to decrease each times')
cmd:option("-range_bug", 0, 'Reproducing the dynamic range bug that is caused by MATLAB\'s rgb2ycbcr(1|0)')
local opt = cmd:parse(arg)
torch.setdefaulttensortype('torch.FloatTensor')
@ -47,9 +48,15 @@ local function MSE(x1, x2)
return (x1 - x2):pow(2):mean()
end
local function YMSE(x1, x2)
local x1_2 = rgb2y_matlab(x1)
local x2_2 = rgb2y_matlab(x2)
return (x1_2 - x2_2):pow(2):mean()
if opt.range_bug == 1 then
local x1_2 = rgb2y_matlab(x1)
local x2_2 = rgb2y_matlab(x2)
return (x1_2 - x2_2):pow(2):mean()
else
local x1_2 = image.rgb2y(x1):mul(255.0)
local x2_2 = image.rgb2y(x2):mul(255.0)
return (x1_2 - x2_2):pow(2):mean()
end
end
local function PSNR(x1, x2)
local mse = MSE(x1, x2)