A Novel Attraction Segregation based Image Compression Technique
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
Digital pictures need sizable amounts of bits to represent them and in their canonical illustration, usually contain important quantity of redundancy. Compression techniques scale back the amounts of bits needed to represent a picture by taking advantage of those redundancies. To beat this redundancy many compression techniques have been analysed in this paper along with an improved model. During this project, we have comprehensively studied the conventionally used algorithms for compression and their respective performances have been compared. This paper presents a comparison of the potency of the Distributed Approximation Technique and also the BWT based approximation technique. A sample space of pictures was placed to be checked, with only a single image to conferred. Additionally, we have also detected the PSNR (Peak Signal to Noise Ratio) of the pictures using the two compression techniques. The pictures used were of the resolution of 250x250 pixels with 8-bit grey level. The BWT, JPEG, JPEG 2000 and distributed approximation schemes were enforced using MATLAB software. Lossless compression algorithms were then applied to the marked space of area of attraction, and image restoration technique and wavelet-based lossy compression rule area unit utilised to the opposite space of the image. Our proposed model is Attraction Segregation Technique for digital image compression as an effective method of compression. Furthermore, a collection of experiments designed to assess the effectiveness of the planned compression technique were simulated.
Authors and Affiliations
Sarthak Tandon, Aditya Chellam, Chandan Kesarwani
Keywords
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