Image Compression by Visual Pattern Vector Quantization (VPVQ)
DCC '08 Proceedings of the Data Compression Conference
A JPEG-based interpolative image coding scheme
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: image and multidimensional signal processing - Volume V
Down-scaling for better transform compression
IEEE Transactions on Image Processing
Adaptive downsampling to improve image compression at low bit rates
IEEE Transactions on Image Processing
A fast scheme for image size change in the compressed domain
IEEE Transactions on Circuits and Systems for Video Technology
Rate-constrained coder control and comparison of video coding standards
IEEE Transactions on Circuits and Systems for Video Technology
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This paper proposes a new image compression approach. The high frequency information in an image is adaptively decreased to facilitate compression, which is then compensated through learning-based mapping. Specifically, an adaptive DCT-domain down-sampling method is presented to reduce the high frequencies in images and the visual pattern based learning is introduced to recover the removed high frequencies. The collaboration of the adaptive DCT-domain down-sampling and learning-based mapping presents a new coding mode for image compression (namely D-mode) which can be readily integrated into the mainstream coding schemes. Experimental results demonstrate that our proposed coding scheme achieves better coding performance in terms of both objective and subjective quality in comparison with H.264 intra coding and JPEG 2000, especially at low bit rates.