Hello, I just wanted to let you know that I have added a new -l17 "extreme" compression quality setting to the NHW Project.I find this setting competitive with x265 (HEVC).Actually I have tested -l17 on 15 rather good quality images, and on these images I prefer the results of the NHW Project.
We can still save 2.5KB per .nhw compressed files. More at: http://nhwcodec.blogspot.com/ . I start wondering if for extreme compression I should add a post-processing function in the decoder that would remove some aliasing for some images, just like HEVC intra has post-processing functions like deblocking and SAO filters. As detecting aliasing seems quite difficult, would it be possible to use for example machine learning, that would be trained to detect aliasing patterns? But first, do you find the results of the NHW Project at extreme compression good in their current state? Or should they be post-processed with aliasing and other? Any feedback is very welcome! Cheers, Raphael
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