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Review Papers | Electronics & Communication Engineering | India | Volume 4 Issue 3, March 2015 | Popularity: 6.2 / 10

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Development of Constant Bit Rate JPEG Image Compression Using Fuzzy Logic

Abhishek Sahu, Praveen Yadav

Abstract: Due to the increase in need of transmission of images in computer, mobile environments, the research in the field of image compression has increased significantly. Image compression plays a important role in digital image processing. In this paper image compression is done using slant transform exploiting the characteristics of Human Visual System (HVS). Normally JPEG compressors support variable bit error rate. . For few applications like digital camera requires fixed bit rate. In this for different quality values bit rate is achieved by the use of fuzzy logic. Fuzzy logic is conceptually easy to understand. This paper is a survey for lossy image compression using Discrete cosine transform (DCT). The mathematical concepts behind fuzzy reasoning are very simple

Keywords: Fuzzy logic, bit rate, DCT Discrete Cosine Transform, JPEG, HVS

Edition: Volume 4 Issue 3, March 2015

Pages: 765 - 767

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