A Comparative Study of Wavelet Coders for Image Compression

Chithra, P. L.; Srividhya, K.

doi:10.1007/978-3-319-03844-5_27

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Huffman Entropy Coding1

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2023

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Cited by 2 publications

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“…Huffman coding is popular entropy coding for compressing the data with variable-length codes. This method constructs a set of variable-length code words with the shortest average length and assigns them to the symbols [31]. The symbol with highest probability has assigned the shortest code using symbol table and vice versa.…”

Section: Huffman Entropy Codingmentioning

confidence: 99%

Color Image Compression Based on Contrast Sensitivity with Quality Factor

Tamilmathi¹,

Chithra²

2023

Advances in Intelligent Systems Research

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This paper presents an innovative lossy color image compression based on contrast sensitivity of human visual perception, in which the image contrast sensitivity value (CSV) of each block is determined from Symmetric Gaussian function (SG). Then the outcome of SG is grouped using K-Medoid (KM) cluster to define the adaptive block quantization table (ABQT) for each block in order to provide better quality reconstructed image with good compression ratio (CR). Our experimental result shows that the observed CR is averagely increased by 3 times and visual quality is averagely increased by 9.9% than the existing algorithms namely traditional JPEG and JPEG with contrast sensitivity technique. The tabulated results indicate that proposed methodology out performs very well with the structural content of natural color test images.

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Section: Huffman Entropy Codingmentioning

confidence: 99%