Review Paper on Image Compression Using Lossless and Lossy Technique
Madhu, Sunil Dalal · International journal of advance research, ideas and innovations in technology · 2017
As we know today to store data is a big issue that’s why we are shifting towards cloud computing which is very advanced technology. Besides this if we compress our data that means which can take less space as compared to original data. There are lots of techniques to compress data and in our research we will implement some of them. Basically compression is of two type lossy and lossless. Compressing an image is significantly different than compressing raw binary data. If we used general or outdated technique to compression images then result would be not optimal as it should be. This is because images have definitely statistical properties which can be triggered or exploited by encoders which are implemented or design for them. In image we have to give up some fine details for the sake of saving a little more bandwidth or storage space. So we can say that lossy compression technology. In this dissertation compression of digital images are done with the help of DCT. Several encoding technique have also been used together with DCT to improve the performance of compression. A computational analysis of picture quality is also made with respect to compression ratio and PSNR.