International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 178 - Number 30 |
Year of Publication: 2019 |
Authors: P. Arul Prabu, S. Rizwana |
10.5120/ijca2019919227 |
P. Arul Prabu, S. Rizwana . A Survey on Various Models and Methods in Image Compression for an Efficient Image Retrieval. International Journal of Computer Applications. 178, 30 ( Jul 2019), 41-44. DOI=10.5120/ijca2019919227
Information technology dominates in every part of human survival in day to day’s life. In earlier decades text processing were more popular due to the emergence in image processing which is user friendly and put the internal processing to a challengeable one. In order to overcome the challenges different methods have been proposed and the compression techniques marked a stable location in image processing. In this research, a deep survey is made on image compression its methodologies, algorithms etc. The study comprises on lossy compression, lossless compression and other hybrid compression techniques. Various image formats and their experimentation results were analysed along with its similarity measures such as compression ratio. This survey motivates to have a novel research in the field of image compression with more accuracy.