Image compression using Least Probable Coefficients Approximation technique

Shaimaa A. El-Said; Khalid F.A. Hussein; Mohamed M. Fouad

doi:10.1504/IJSISE.2011.044606

Image compression using Least Probable Coefficients Approximation technique

Shaimaa A. El-Said, Khalid F.A. Hussein, Mohamed M. Fouad

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

A novel Adaptive Lossy Compression technique, namely Least Probable Coefficients Approximation (LPCA) technique, is proposed to achieve better performance and simpler implementation than JPEG at low bitrate. Compression using LPCA based on reducing the number of source symbols by applying efficient processing on the Discrete Cosine Transform (DCT) coefficients of the image in addition to efficient quantisation to reduce the transmitted values. It is a general compression technique that can be applied to any digital data not just images. Experimental comparisons are carried out to compare the performance of the proposed technique with that of JPEG. The experimental results show that: The proposed compression technique achieves high Compression Ratio (CR) with higher Signal to Noise Ratio (SNR) than that of JPEG at low bitrate without the great visual degradation that appears in case of JPEG.

Original language	English
Pages (from-to)	197-206
Number of pages	10
Journal	International Journal of Signal and Imaging Systems Engineering
Volume	4
Issue number	4
DOIs	https://doi.org/10.1504/IJSISE.2011.044606
State	Published - Dec 2011
Externally published	Yes

Keywords

Adaptive quantisation
DCT
Discrete cosine transform
General compression technique
Huffman encoding
Image compression
JPEG

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10.1504/IJSISE.2011.044606

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title = "Image compression using Least Probable Coefficients Approximation technique",

abstract = "A novel Adaptive Lossy Compression technique, namely Least Probable Coefficients Approximation (LPCA) technique, is proposed to achieve better performance and simpler implementation than JPEG at low bitrate. Compression using LPCA based on reducing the number of source symbols by applying efficient processing on the Discrete Cosine Transform (DCT) coefficients of the image in addition to efficient quantisation to reduce the transmitted values. It is a general compression technique that can be applied to any digital data not just images. Experimental comparisons are carried out to compare the performance of the proposed technique with that of JPEG. The experimental results show that: The proposed compression technique achieves high Compression Ratio (CR) with higher Signal to Noise Ratio (SNR) than that of JPEG at low bitrate without the great visual degradation that appears in case of JPEG.",

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AU - Hussein, Khalid F.A.

AU - Fouad, Mohamed M.

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Image compression using Least Probable Coefficients Approximation technique

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Keywords

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