On color transforms and bit allocation for optimal subband image compression
Image Communication
Embedded zerotree wavelets coding based on adaptive fuzzy clustering for image compression
Image and Vision Computing
Generic Adoption of Spatial Steganalysis to Transformed Domain
Information Hiding
Camera-Model Identification Using Markovian Transition Probability Matrix
IWDW '09 Proceedings of the 8th International Workshop on Digital Watermarking
Multiple description coding with prediction compensation
IEEE Transactions on Image Processing
Efficient block-based frequency domain wavelet transform implementations
IEEE Transactions on Image Processing
A Markov process based approach to effective attacking JPEG steganography
IH'06 Proceedings of the 8th international conference on Information hiding
Steganalysis for Markov feature of difference array in DCT domain
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Blocky noise reduction for JPEG images using total variation minimization
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
A three-layer scheme for M-channel multiple description image coding
Signal Processing
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It has been well established that state-of-the-art wavelet image coders outperform block transform image coders in the rate-distortion (R-D) sense by a wide margin. Wavelet-based JPEG2000 is emerging as the new high-performance international standard for still image compression. An often asked question is: how much of the coding improvement is due to the transform and how much is due to the encoding strategy? Current block transform coders such as JPEG suffer from poor context modeling and fail to take full advantage of correlation in both space and frequency sense. This paper presents a simple, fast, and efficient adaptive block transform image coding algorithm based on a combination of prefiltering, postfiltering, and high-order space-frequency context modeling of block transform coefficients. Despite the simplicity constraints, coding results show that the proposed coder achieves competitive R-D performance compared to the best wavelet coders in the literature.