Research Article Open Access

An Efficient and Secure Fractal Image and Video Compression

Abstract

The image compression is to decrease the size of graphical file without disturbing its quality. Depending on the compression ratio the reconstructed image has to be exactly same as the original or some unspecified loss may be cause. Image and Video compression is a fundamental technology in multimedia and digital communication fields. Ideally, an image compression technique removes redundant and dissimilar information, and efficiently encodes what remains. It is necessary to throw away both on redundant information and related information to achieve the compression. The existing image compression algorithm is based on the relationship between adjacent pixels and therefore the compression ratio is not high. But the correlation not only exists in adjacent pixels within a local region, but also in unlike regions and local regions with global regions. The fractal scheme is based on the self-similarities that are built in many real world images for the reason of encoding an image as a collection of transformations. The combined DCT and Fractal Image Compression approach is used to perform the video compression with scalability vector. The experimental result of proposed scheme shows the effectiveness in compressing the color images and videos. Also, a comparative analysis is performed to prove that the system is competent to compress the images in terms of PSNR, SSIM and UIQI measurements.

Sonali V. Kolekar, Prof.Prachi Sorte.

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