Lossless Image Compression in Cloud Computing
B. Nivedha, M. Indira Priyadharshini, E. Thendral, T. Deenadayalan · 2017
Huge numbers of images are produced today with advent of the 'big data' era. To store and transmit data traditional compression methods are no longer satisfying. In this paper, we face this challenge and to achieve a higher compression rate we are taking the advantage of the correlations existing between images. An image compression system that encodes each image by referencing its correlated images in the cloud. By comparing these features, we first extract features from an image and retrieve its similar image from the massive images in the cloud. Different methods of compressing point cloud data such as directly by converting it into 2D images or by using tree-based approaches have been explored from the previous studies. In this study, rather than compress point cloud data directly to compress the image in cloud data, by converting it lossless into range images, and then using various image compression algorithms to reduce the volume of the data.