5 citations · 7 across the 3 of their papers we have counts for
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cs.CV2020
Analyzing and Mitigating JPEG Compression Defects in Deep Learning
Max Ehrlich, Larry Davis, Ser-Nam Lim +1
With the proliferation of deep learning methods, many computer vision problems which were considered academic are now viable in the consumer setting. One drawback of consumer appli…
eess.IV2020
Quantization Guided JPEG Artifact Correction
Max Ehrlich, Larry Davis, Ser-Nam Lim +1
The JPEG image compression algorithm is the most popular method of image compression because of its ability for large compression ratios. However, to achieve such high compression,…