JPEG Still Image Data Compression Standard
JPEG Still Image Data Compression Standard
An edge detection approach based on directional wavelet transform
Computers & Mathematics with Applications
Transformed-Domain Mode Selection for H.264 Intra-Prediction Improvement
IEICE - Transactions on Information and Systems
Fuzzy automata system with application to target recognition based on image processing
Computers & Mathematics with Applications
An image compression method based on the multi-resolution characteristics of BEMD
Computers & Mathematics with Applications
Run-length encodings (Corresp.)
IEEE Transactions on Information Theory
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
A compressed domain scheme for classifying block edge patterns
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
A zerotree wavelet video coder
IEEE Transactions on Circuits and Systems for Video Technology
A comparative study of DCT- and wavelet-based image coding
IEEE Transactions on Circuits and Systems for Video Technology
Warped discrete cosine transform and its application in image compression
IEEE Transactions on Circuits and Systems for Video Technology
Low-complexity and low-memory entropy coder for image compression
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
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This paper proposes a block-edge-based Single-Pass Perceptual Embedded Zero-tree Coding (SPPEZC) method. SPPEZC combines two novel compression concepts, called Block-Edge Detection (BED) and the Low-Complexity and Low-Memory Entropy Coder (LLEC), for coding efficiency and quality. Because the edge information can provide beneficial cues for preserving the perceptual quality of compressed images, this paper presents an effective combinative coding scheme, called Single-Pass Perceptual Embedded Zero-tree Coding (SPPEZC), which integrates the improved LLEC and the block-edge information. This approach provides improved perceptual quality in compressed images. Based on the block-edge information, this paper proposes an adaptive architecture for adjusting the quantization table and subsequently coding the quantized coefficients with the LLEC. The proposed SPPEZC approach was implemented and evaluated on both PC-based and DSP-based embedded platforms. Experimental results and comparisons demonstrate that the proposed SPPEZC technique provides computational efficiency as well as satisfactory perceptual quality in compressed images.