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Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 8, August 2014 | Rating: 6.4 / 10
Survey on Optimization of Fractal Image Compression
Er. Awdhesh Kumari | Dr. Shaveta Rani | Dr. Paramjeet Singh
Abstract: Fractal image compression is a comparatively recent technique based on the representation of an image by a contraceptive transform, on the space of images, for which the fixed period is close to the original image. This review presents a survey of the most significant improvements, both practical and theoretical in the original fractal coding scheme. In this paper, fractal image compression is discussed. It is a lossy compression method for digital images and based on fractals. This method is best suitable for textures and natural images and depends on the fact that parts of an image many times resemble to the other parts of the same image. In this paper, we are comparing two techniques i. e. Fractal image compression and fractal image compression with PBO on the basis of performance parameters i. e Peak signal to noise ratio (PSNR) and Mean Square Error (MSE) of compressed images.
Keywords: Image Compression, fractals, Lossy Compression techniques, Pollination based optimization PBO
Edition: Volume 3 Issue 8, August 2014,
Pages: 1538 - 1540