On lossless image compression
Huawen He · Digital Scholarship - UNLV (University of Nevada Reno) · 2019
Accompanying the growth in the size of database and the use of images has been a large increase in the number of users and duration of usage by personnel at remote locations. These factors result in tremendous amounts of data being stored and transferred between computers and remote terminals. Data compression is therefore very important to reduce the size of data files and the time needed to transfer between the remote terminals. A wide variety of compression techniques have been developed over past 20 years to reduce size of image files. Some techniques represent the application of modified lossless compression algorithms while other techniques represent the application of the lossy algorithms; In this thesis, we discuss the lossless compression of the image with the algorithm of the mean square error analysis and other algorithm. We also discuss the statistical properties of the residual image. We use grayscale image files to test our results.