A Review of Lossless and Lossy Based Image Compression Techniques
Roopesh Kumar Kurmi1, Sumit Gupta2
1Roopesh Kumar Kurmi, M.Tech Scholar, Department of Computer Science and Engineering, Lakshmi Narain College of Technology Excellence, Bhopal (M.P), India.
2Prof. Sumit Gupta, Department of Computer Science & Engineering, Lakshmi Narain College of Technology Excellence, Bhopal (M.P), India.
Manuscript received on 10 August 2017 | Revised Manuscript received on 18 August 2017 | Manuscript Published on 30 August 2017 | PP: 136-140 | Volume-6 Issue-6, August 2017 | Retrieval Number: F5145086617/17©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image compression aims to reduce the data size of images and to store or transmit these images efficiently. Therefore, it offers the promise of image/video transmission under limited bandwidth. The past few decades have witnessed an extensive body of literature on both lossless and lossy image compression. This paper presents a literature review of different number of lossy and lossless based image compression technique that have been developed by researchers to perform various application which are based on the various types of images such as medical images, standard images, or with all digital images. This review helps in analyzing the existing lossy and lossless based image compression technique and it discuss the image quality, image compression ratio, image compression rate, PSNR value etc.
Keywords: Image Compression Ratio, Image Compression Rate, PSNR Value Etc.
Scope of the Article: Image Processing