Low-level segmentation of aerial images with fuzzy clustering
IEEE Transactions on Systems, Man and Cybernetics
Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Ten lectures on wavelets
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Self-organizing maps
ACM Transactions on Information Systems (TOIS)
ACM Computing Surveys (CSUR)
Gray-level reduction using local spatial features
Computer Vision and Image Understanding
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG Still Image Data Compression Standard
JPEG Still Image Data Compression Standard
Digital Image Compression Techniques
Digital Image Compression Techniques
An algorithmic study on lossless image compression
DCC '96 Proceedings of the Conference on Data Compression
How Do Image Statistics Impact Lossy Coding Performance?
ITCC '00 Proceedings of the The International Conference on Information Technology: Coding and Computing (ITCC'00)
IEEE Transactions on Information Theory
The JPEG2000 still image coding system: an overview
IEEE Transactions on Consumer Electronics
Lossless compression of continuous-tone images via context selection, quantization, and modeling
IEEE Transactions on Image Processing
The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS
IEEE Transactions on Image Processing
Progressive transmission of vector-quantized images with security and fault-tolerance
SIP'06 Proceedings of the 5th WSEAS international conference on Signal processing
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In this paper, we present a multi-segment image coding scheme suitable for lossless progressive transmission over noisy or congested networks. The method is a block-wise forward-adaptive context selection technique that employs a low-complexity classification process to separate an image into multiple segments according to local statistics, so that compression efficiency by an entropy coder is improved and progressive transmission becomes possible. At the same time, loss of information in case of error occurrence during transmission results in less obvious quality degradation as the lost blocks are scattered in the final image. The scheme was extensively tested and turned out to give results comparable to those given by state-of-the-art standards, such as L-JPEG, JPEG-LS, CALIC and FELICS, in terms of compression efficiency, while providing with scalability and error concealment mechanisms.