Lossless image compression utilizing reference points coding

Yi-Fei Tan; Wooi-Nee Tan; Kae-Yann Tan

doi:10.1117/12.896159

8 July 2011 Lossless image compression utilizing reference points coding

Yi-Fei Tan, Wooi-Nee Tan, Kae-Yann Tan

Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 80092E (2011) https://doi.org/10.1117/12.896159
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China

Abstract

This paper proposes a lossless image compression method utilizing the neighboring pixels to determine the reference point values. The proposed method scans every pixel row by row and assigns a 2-bit reference point value to each pixel by comparing its intensity value to the neighboring pixels' intensity values. The intensity value will be stored to a new file only when the comparison fails to find a neighborhood pixel with the same intensity value. The compression is achieved as only the information of 2-bit reference point values for all pixels and certain intensity values are required for storage. The suggested method is tested on various types of images and the results show that it performs well for most of the images.

Citation Download Citation

Yi-Fei Tan, Wooi-Nee Tan, and Kae-Yann Tan "Lossless image compression utilizing reference points coding", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80092E (8 July 2011); https://doi.org/10.1117/12.896159

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