LLEC: An Image Coder with Low-Complexity and Low-Memory Requirement
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Fast unified computation of the multi-dimensional discrete sinusoidal transforms
Applied Mathematics and Computation
Low-Complexity Scalable Image Compression
DCC '00 Proceedings of the Conference on Data Compression
A novel statistical and DCT based image encoder
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
A Modified Embedded Zerotree Wavelet (MEZW) Algorithm for Image Compression
Journal of Mathematical Imaging and Vision
Adaptive quantization for video compression in frequency domain
ACS'08 Proceedings of the 8th conference on Applied computer scince
Implementation of video player for embedded systems
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
A novel statistical and DCT based image encoder
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
Transcoding in the block DCT space
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Adaptive quantization of DWT-Based stereo residual image coding
CIS'04 Proceedings of the First international conference on Computational and Information Science
Image compression algorithm based on morphological associative memories
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Modified EZW coding for stereo residual
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
The single-pass perceptual embedded zero-tree coding implementation on DSP
Computers & Mathematics with Applications
DWT based-approach for color image compression using genetic algorithm
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
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We undertake a study of the performance difference of the discrete cosine transform (DCT) and the wavelet transform for both image and video coding, while comparing other aspects of the coding system on an equal footing based on the state-of-the-art coding techniques. The studies reveal that, for still images, the wavelet transform outperforms the DCT typically by the order of about 1 dB in peak signal-to-noise ratio. For video coding, the advantage of wavelet schemes is less obvious. We believe that the image and video compression algorithm should be addressed from the overall system viewpoint: quantization, entropy coding, and the complex interplay among elements of the coding system are more important than spending all the efforts on optimizing the transform