文章基本信息

标题：Software for Lossless Compression Using DCT and Wavelet-Based Image Compression Technique Using MATLAB
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作者：Er. Harinder Dingra ; Er. Rashmeet Kour ; Hilal Ahmad Dar 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2018
卷号：7
期号：6
页码：7110-7115
DOI：10.15680/IJIRSET.2018.0706080
出版社：S&S Publications
摘要：With the improvement in image quality, size of the image file also increases. Due to speed limitation of the Internet, it takes more time to upload good-quality images that are of bigger sizes. The cameras nowadays come with more megapixels to capture better quality pictures. Mobile manufacturers need algorithms in their cameras that enable storing the images in reduced sizes without degrading their quality. As a result of storage limitations, image compression plays a significant role in the transmission and storage of image data. The main aim of image compression is to represent an image in the fewest number of bits without losing the essential information within the original image. Image compression removes the redundancy or unnecessary repetitive details in the file and stores or transmits data in an efficient form. There are algorithms for data compression, but they come along with a reduction, called losses, of vital information contained in the file. Lossless image compression keeps the same information as the original file. Our paper compares data compression by DCT and Wavelet-Based compression techniques using the MATLAB based software. It was found that DCT technique preserved the quality of the data file much more than Wavelet-based compression.
关键词：Image Compression; DCT; MATLAB; Redundancy; Image Quality; Data Transfer; Wavelet; Daubechies; Threshold; Joint Photographic Experts Group (JPEG); Discrete wavelet transform (DWT)