Development of Constant Bit Rate JPEG Image Compression Using Fuzzy Logic
Journal: International Journal of Science and Research (IJSR) (Vol.4, No. 3)Publication Date: 2015-03-05
Authors : Abhishek Sahu; Praveen Yadav;
Page : 765-767
Keywords : Fuzzy logic; bit rate; DCT Discrete Cosine Transform; JPEG; HVS;
- Coastal Erosion and Its Impact on Sagar Island, (S) 24 Parganas, W.B
- Response to Coastal Erosion in Coastal Villages of Contai Coastal Tract
- Shore Line Shifting of Namkhana Island of Indian Sundarban, South 24 Parganas, West Bengal, India, Using Remote Sensing &GIS Techniques
- Bio-Economics of Scampi (Macrobrachium Rosenbergii) Polyculture in Selected Ponds at Namkhana Block in South 24 Parganas District of Coastal West Bengal Over the Year 2014
- Assessment of Water Quality of Himayath Sagar and Osman Sagar Based on Biological Oxygen Demand
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
Other Latest Articles
- Discrimination Prevention in Data mining with Privacy Preservation
- Record Deduplication Approaches and Algorithm for Removing Duplicate Data
- Cloud-Based Mobile Multimedia to Design a Distributed Recommendation Cache
- Study of Dynamic Characteristics and Design Analysis of Bush&Spindle of Ultra-Precision Aerostatic Bearing
- Importance of Section 66A in Information Technology Act 2000
Last modified: 2021-06-30 21:34:49