• Kulwinder Kaur
• Sukhdeep Kaur

Image compression is an application of data compression that encodes the original image with few bits. The main goal of such system is to reduce the storage quantity as much as possible, and the decoded image displayed in the monitor can be similar to the original image as much as can be. The research paper focuses on working of SVD (Singular value decomposition) technique of image compression which falls under the lossy category. The paper depicts the working of SVD via considering an input image and obtaining compression at different levels in bits. The obtained results illustrates that the as the level of compression increases the quality of image gets better and the compression is significantly reduced.

Image compression, lossy compression, lossless compression, SVD

"Implementing Image Compression via Singular Value Decomposition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.563-571, June 2019, Available :http://www.jetir.org/papers/JETIR1907M74.pdf

"Implementing Image Compression via Singular Value Decomposition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp563-571, June 2019, Available at : http://www.jetir.org/papers/JETIR1907M74.pdf