Advancing the Rate-Distortion-Computation Frontier for Neural Image Compression

• Published in: 2023 IEEE International Conference on Image Processing (ICIP) pp. 2940 - 2944
• Main Authors: Minnen, David, Johnston, Nick
• Format: Conference Proceeding
• Language: English
• Published: IEEE 08.10.2023
• Subjects: Benchmark testing; Codecs; Computational modeling; Computer architecture; FLOPs; Image coding; image compression; neural networks; Rate-distortion; Runtime

The rate-distortion performance of neural image compression models has exceeded the state-of-the-art for non-learned codecs, but neural codecs are still far from widespread deployment and adoption. The largest obstacle is having efficient models that are feasible on a wide variety of consumer hardwa...