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Feature Extraction Based Domain Kickout Method For Fractal Image Compression

Publication Type : Conference Proceedings

Publisher : IEEE

Source : 2023 1st International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP)

Url : https://doi.org/10.1109/ihcsp56702.2023.10127206

Campus : Faridabad

School : School of Artificial Intelligence

Year : 2023

Abstract : In fractal image compression, similarities between the picture's self-similar components, often known as fractals, are exploited in order to create a novel method of image representation. In order to depict these fractals, it makes use of affine transformations. The significant amount of time needed for the encoding process is this method's most significant drawback. In this paper, we propose a fast fractal image compression system. This system works by reducing the effective number of domain images by using feature extraction, which in turn reduces the computational overheads and ultimately results in a reduction in the amount of time it takes to encode the image.

Cite this Research Publication : Sucheta Bhardwaj, Vijayshri Chaurasia, Ebtasam Ahmad Siddiqui, Vivek Patel, Abhishek Sharma, Manish Tiwari, Feature Extraction Based Domain Kickout Method For Fractal Image Compression, 2023 1st International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP), IEEE, 2023, https://doi.org/10.1109/ihcsp56702.2023.10127206

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