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Old 8th October 2020, 22:36   #1  |  Link
feisty2
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compression artifacts removal

I'm developing the next version of Oyster, it is capable of handling more extreme cases than the previous version, you're welcome to play with it and suggest a set of reasonable default settings for each filter.

before:



after:

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Old 8th October 2020, 22:43   #2  |  Link
Cary Knoop
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Quote:
Originally Posted by feisty2 View Post
I'm developing the [URL="https://github.com/IFeelBloated/Oyster/blob/alpha/Alpha.py"]
Cary, checking the AMD website on the status of the latest 256 core 12.3GHz processor.

But all joking aside, great job, Feisty, I will start checking this soon!
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Old 8th October 2020, 22:55   #3  |  Link
feisty2
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Originally Posted by Cary Knoop View Post
Cary, checking the AMD website on the status of the latest 256 core 12.3GHz processor.

But all joking aside, great job, Feisty, I will start checking this soon!
you can checkpoint intermediate results by materializing them onto the hard drive (note that mv fields will be VERY large) and speed things up.

settings I used to produce the results above:
Code:
clip.OysterDecombing(6, 8, 12, 4, 2000, 1200, 100, 4, breakdown='',checkpoints=['prefilter','supersample','motionanalysis','compensate'])

clip.OysterBasic(6, 16, 16, mse=24 * 160.0 + 1200.0, mse2=24 * 120.0 + 800.0, hard_thr=3.2, block_size=8, block_step=1, group_size=32, bm_range=24, bm_step=1, pel=4, sad=2000, me_sad_upperbound=1200, me_sad_lowerbound=100, searchparam=4, breakdown='',checkpoints=['spatialbasic','spatialfinal', 'supersample', 'motionanalysis'])

clip.OysterDeblocking(ref, 6, a=32, s=4, h=2.4, sigma=24, sigma2=24, mse=None, mse2=None, hard_thr=2.7, block_size=8, block_step=1, group_size=32, bm_range=24, bm_step=1, ps_num=2, ps_range=8, ps_step=1, sbsize=9, slocation=[0.0,0.0, 0.12,1024.0, 1.0,1024.0], crop_left=0, crop_top=0, breakdown='',checkpoints=['cleanse','refinebasic','refinefinal'])

clip.OysterDeringing(ref, radius=6, sigma=8, sigma2=8, mse=None, mse2=None, hard_thr=3.2, block_size=8, block_step=1, group_size=32, bm_range=24, bm_step=1, ps_num=2, ps_range=8, ps_step=1, h_upperbound=6.4, h_lowerbound=4.8, refine_sigma=4, refine_sigma2=4, refine_mse=None, refine_mse2=None, refine_hard_thr=2.7, sbsize=9, slocation=[0.0,8.0, 0.12,1024.0, 1.0,1024.0], breakdown='',checkpoints=['cleansebasic','cleansefinal','restore','refinebasic','refinefinal'])
to use Alpha.py, you will need to call "Alpha._init()" after importing it, and you will need to compile my patched version of BM3D.

edit:
and all inputs must be GrayS (fp32 grayscale)

Last edited by feisty2; 8th October 2020 at 23:01.
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Old 28th October 2020, 10:35   #4  |  Link
ReinerSchweinlin
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Thanx for working on this, it looks very good. Hope I will find some time to check it out.
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