International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 177 - Number 38 |
Year of Publication: 2020 |
Authors: B. Reddaiah |
10.5120/ijca2020919887 |
B. Reddaiah . A Study on Image Compression and its Applications. International Journal of Computer Applications. 177, 38 ( Feb 2020), 33-36. DOI=10.5120/ijca2020919887
The fast development in digital filed gave scope for a lot of image processing applications. To make use of digital images efficiently, explicit methods are required to decrease the number of bits essential for their presentation. This guided for instant development in area of Image Processing. This increase forced to develop more strong algorithms. Compression concentrates on dropping image dimension without losing the originality and information present with original one. With this goal of compressing the image is to reduce redundancy present in image and to increase the storage capacity for well-organized communication. This research reviews important image compression methods. This paper discusses efficient techniques like lossy and lossless with its applications and research possibilities.