Deep Scalable Image Compression via Hierarchical Feature Decorrelation

Zongyu Guo
Zongyu Guo

PCS, pp. 1-5, 2019.

Cited by: 0|Views7


Scalable image compression allows reconstructing complete images through partially decoding. It plays an important role for image transmission and storage. In this paper, we study the problem of feature decorrelation for Deep Neural Network (DNN) based image codec. Inspired by self-attention mechanism [1], we design a transformer-based de...More



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