Survey Of Lossless Image Coding Techniques

Paul W. Melnychuck; Majid Rabbani

doi:10.1117/12.952631

5 April 1989 Survey Of Lossless Image Coding Techniques

Paul W. Melnychuck, Majid Rabbani

Proceedings Volume 1075, Digital Image Processing Applications; (1989) https://doi.org/10.1117/12.952631
Event: OE/LASE '89, 1989, Los Angeles, CA, United States

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.

Citation Download Citation

Paul W. Melnychuck and Majid Rabbani "Survey Of Lossless Image Coding Techniques", Proc. SPIE 1075, Digital Image Processing Applications, (5 April 1989); https://doi.org/10.1117/12.952631

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