Fractal Image Compression Method for Lossy Data Compression
Fırat Artuğer, Fatih Özkaynak
Abstract
Fırat Artuğer, Fatih Özkaynak
Abstract
One of the most commonly used methods for lossy image compression today is the JPEG compression method. However, the JPEG compression method has its disadvantages. To overcome these disadvantages, a fractal image compression method is proposed. JPEG compression gives good results on small-sized images, but it suffers from large-sized images, and as the size of the image increases, both accuracy and compression ratio decrease and compression and decoding take a long time. However, the fractal compression method removes these troubles. The programs are written in matlab and the results are evaluated. As the size of the images increases, it is observed that the fractal compression method is more suitable.
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One of the most commonly used methods for lossy image compression today is the JPEG compression method. However, the JPEG compression method has its disadvantages. To overcome these disadvantages, a fractal image compression method is proposed. JPEG compression gives good results on small-sized images, but it suffers from large-sized images, and as the size of the image increases, both accuracy and compression ratio decrease and compression and decoding take a long time. However, the fractal compression method removes these troubles. The programs are written in matlab and the results are evaluated. As the size of the images increases, it is observed that the fractal compression method is more suitable.
Key concepts: Lossy compression, Fractal transform, Fractal compression, JPEG, Texture compression, Image compression, Color Cell Compression, Lossless compression