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A New Lossless Compression Algorithm for Static Color Images - INA

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We present a new algorithm for compression of static color images. It allows to get higher compression ratios than the universal methods. Most of these traditional Lossless methods use techniques based on the elimination or reduction of the existent redundancy in the data (pixels), using mainly methods based on statistical models (e.g. Huffman Coding, Arithmetic Coding), dictionary models, pattern substitution (LZW…) or predictive coding of the adjacent pixel or near symbols (FELICS, JPEG…). This way, they lead to ratios which oscillate from 1:2 to 1:4 being considered these last ones as well acceptable results.

Alternatively, we propose a new universal method based mainly on three sequential processes: first, segmentation of the image in fixed blocks, second, application of a compression algorithm based on the structure of data in form of binary tree and last, coding in order traversal of the binary tree. This method guarantees as minimum a ratio of compression of 1:3.

Finally, we have applied the proposed method to a group of images of different sources and nature (photographic, satellite, medical etc.) and we have compared the experimental results with those given by the universal methods, among which is included JPEG Lossless proposed as an standard.
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Document Type: Research Article

Publication date: January 1, 2002

More about this publication?
  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual papers for details.

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