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eess.IV2022
Universal Learned Image Compression With Low Computational Cost
Bowen Li, Yao Xin, Youneng Bao +3
Recently, learned image compression methods have developed rapidly and exhibited excellent rate-distortion performance when compared to traditional standards, such as JPEG, JPEG200…
eess.IV2022
Exploring Structural Sparsity in Neural Image Compression
Shanzhi Yin, Chao Li, Wen Tan +3
Neural image compression have reached or out-performed traditional methods (such as JPEG, BPG, WebP). However,their sophisticated network structures with cascaded convolution layer…
eess.IV2022
Transformations in Learned Image Compression from a Modulation Perspective
Youneng Bao, Fangyang Meng, Wen Tan +3
In this paper, a unified transformation method in learned image compression(LIC) is proposed from the perspective of modulation. Firstly, the quantization in LIC is considered as a…