Open Access
Analysis of lossless radarimages compressionfor navigationin marine trafficand remote transmission
TLDR
To decrease size of data under transmission a new algorithm, namely RLE-BER (Run Length Encoding with Binary Encoded Runs) for radar images compression is proposed, and initial results are very promising, as the average compression ratio is near to 5: 1 when considering monochromepalette (binary image).References
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Data compression
TL;DR: A variety of data compression methods are surveyed, from the work of Shannon, Fano, and Huffman in the late 1940s to a technique developed in 1986, which has important application in the areas of file storage and distributed systems.
Book
Document and Image Compression
TL;DR: State of the Art Multiresolution Analysis for Image Compression and Trends in Model-Based Coding of Multidimensional Medical Data are presented.
Journal ArticleDOI
Selective medical image compression techniques for telemedical and archiving applications.
Alfred Bruckmann,Andreas Uhl +1 more
TL;DR: This paper introduces and compares SeLIC techniques with different functionalities, and investigates the impact of using wavelet transforms and JPEG as underlying lossy compression algorithm.
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Lossless compression of map contours by context tree modeling of chain codes
TL;DR: This work proposes to generate an optimal n-ary incomplete context tree by first constructing a complete tree up to a predefined depth and creating the optimal tree by pruning out nodes that do not provide improvement in compression.
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Lossless binary image compression using logic functions and spectra
TL;DR: The experimental results indicate that the lossless compression technique is fairly efficient when compared with other methods based on representations of logic functions.