COOL-CHIC: Coordinate-based Low Complexity Hierarchical Image Codec

Autor:	Ladune, Théo, Philippe, Pierrick, Henry, Félix, Clare, Gordon, Leguay, Thomas
Rok vydání:	2022
Předmět:	Electrical Engineering and Systems Science - Image and Video Processing Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	We introduce COOL-CHIC, a Coordinate-based Low Complexity Hierarchical Image Codec. It is a learned alternative to autoencoders with 629 parameters and 680 multiplications per decoded pixel. COOL-CHIC offers compression performance close to modern conventional MPEG codecs such as HEVC and is competitive with popular autoencoder-based systems. This method is inspired by Coordinate-based Neural Representations, where an image is represented as a learned function which maps pixel coordinates to RGB values. The parameters of the mapping function are then sent using entropy coding. At the receiver side, the compressed image is obtained by evaluating the mapping function for all pixel coordinates. COOL-CHIC implementation is made open-source. Comment: Add link to github repository
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2212.05458 Zobrazit plný text záznamu View this record from Arxiv