arXiv:1703.04421cs.CV
Guetzli: Perceptually Guided JPEG Encoder
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Abstract
Guetzli is a new JPEG encoder that aims to produce visually indistinguishable images at a lower bit-rate than other common JPEG encoders. It optimizes both the JPEG global quantization tables and the DCT coefficient values in each JPEG block using a closed-loop optimizer. Guetzli uses Butteraugli, our perceptual distance metric, as the source of feedback in its optimization process. We reach a 29-45% reduction in data size for a given perceptual distance, according to Butteraugli, in comparison to other compressors we tried. Guetzli's computation is currently extremely slow, which limits its applicability to compressing static content and serving as a proof- of-concept that we can achieve significant reductions in size by combining advanced psychovisual models with lossy compression techniques.
There is no block to block prediction other than DC prediction, so is this effect due to your distortion function spanning multiple blocks? Same for cross YUV channels, because your metric is in RGB space? edit: second read-through I found the paper [1] which explains it. The…
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