Proceedings ArticleDOI
Survey Of Lossless Image Coding Techniques
Paul W. Melnychuck,Majid Rabbani +1 more
- Vol. 1075, pp 92-100
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TLDR
Many image transmission/storage applications requiring some form of data compression additionally require that the decoded image be an exact replica of the original, and lossless image coding algorithms meet this requirement by generating a decodes image that is numerically identical to the original.Abstract:
Many image transmission/storage applications requiring some form of data compression additionally require that the decoded image be an exact replica of the original. Lossless image coding algorithms meet this requirement by generating a decoded image that is numerically identical to the original. Several lossless coding techniques are modifications of well-known lossy schemes, whereas others are new. Traditional Markov-based models and newer arithmetic coding techniques are applied to predictive coding, bit plane processing, and lossy plus residual coding. Generally speaking, the compression ratio offered by these techniques are in the area of 1.6:1 to 3:1 for 8-bit pictorial images. Compression ratios for 12-bit radiological images approach 3:1, as these images have less detailed structure, and hence, their higher pel correlation leads to a greater removal of image redundancy.read more
Citations
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Journal ArticleDOI
Performance analysis of reversible image compression techniques for high-resolution digital teleradiology
TL;DR: The modified multichannel linear predictor outperforms the other methods while offering certain advantages in implementation and is compared to that of a novel two-dimensional linear predictive coder developed by extending the multichannels version of the Burg algorithm to two dimensions.
Patent
Method and associated apparatus for encoding bitplanes for improved coding efficiency
Majid Rabbani,Paul W. Melnychuck +1 more
TL;DR: In this article, an encoding method is described for image bitplanes whereby an arithmetic coder using conditioning contexts based on pixels from both the current bitplane and previously decoded bitplanes is employed.
Proceedings ArticleDOI
Motion compensated compression of computer animation frames
TL;DR: The overall compression ratio of the new algorithm, including the geometric data overhead, is compared to conventional spatial linear prediction compression and is shown to be consistently better, by a factor of 1.4 or more, even with large frame-to-frame motion.
Proceedings ArticleDOI
Coding Of Two-Tone Images
TL;DR: This work gives a brief overview of efficient coding methods for two-tone images, especially: white block skipping and runlength coding.
References
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