International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




Downloads: 133

Review Papers | Electronics & Communication Engineering | India | Volume 4 Issue 3, March 2015


Development of Constant Bit Rate JPEG Image Compression Using Fuzzy Logic

Abhishek Sahu | Praveen Yadav [2]


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

Development of Constant Bit Rate JPEG Image Compression Using Fuzzy Logic


How to Cite this Article?

Abhishek Sahu, Praveen Yadav, "Development of Constant Bit Rate JPEG Image Compression Using Fuzzy Logic", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SUB152106, Volume 4 Issue 3, March 2015, 765 - 767, #ijsrnet

How to Share this Article?

Enter Your Email Address




Similar Articles with Keyword 'Fuzzy logic'

Downloads: 127

Research Paper, Electronics & Communication Engineering, India, Volume 7 Issue 6, June 2018

Pages: 1662 - 1664

Enhancement of Gray Level Image by Fuzzy and Filter Technique

Monalisa Pandey | Pankaj Sharma [7]

Share this Article

Downloads: 58

Research Paper, Electronics & Communication Engineering, India, Volume 9 Issue 12, December 2020

Pages: 1153 - 1157

Comparison of Fuzzy Logic and Neuro Fuzzy Air Purifying System

Tamsa | Amrit Kaur Bhullar [2]

Share this Article


Top