Deep Generative Model based Rate-Distortion for Image Downscaling Assessment

arXiv:2403.15139v1 Announce Type: new
Abstract: In this paper, we propose Image Downscaling Assessment by Rate-Distortion (IDA-RD), a novel measure to quantitatively evaluate image downscaling algorithms. In contrast to image-based methods that measure the quality of downscaled images, ours is process-based that draws ideas from rate-distortion theory to measure the distortion incurred during downscaling. Our main idea is that downscaling and super-resolution (SR) can be viewed as the encoding and decoding processes in the rate-distortion model, respectively, and that a downscaling …

abstract algorithms arxiv assessment contrast cs.cv eess.iv generative ida ideas image images novel paper process quality rate theory type