Deep Selector-JPEG: Adaptive JPEG Image Compression for Computer Vision in Image classification with Human Vision Criteria

no code implementations • 19 Feb 2023 • Hossam Amer, Sepideh Shaterian, En-hui Yang

Experimental results show that in comparison with JPEG at the same CR, Deep Selector-JPEG achieves better Rate-Accuracy performance over the ImageNet validation set for all tested DNN classifiers with gains in classification accuracy between 0. 2% and 1% at the same CRs while satisfying HV constraints.

Classification Image Classification +3