Comparative study of DWT, DCT, BTC and SVD techniques for image compression

Today with the development of technology the entire world is moving towards digital communication for fast and quality communication. Digital images play an important role in digital communication. Original image is too large in size requires huge storage space, large transmission bandwidth and more transmission time. Due to large storage space and bandwidth, cost of communication becomes high, and slow transmission degrades the quality communication which is not desirable. There is a need to reduce the size of image. Image compression is used to reduce the size of the image while maintaining the quality of an image as original image. Reduced size of image increases the storage capacity of system and reduces the channel bandwidth requirement making it feasible for high speed communication. There are several methods available to compress an image file. In this paper we use different types of image compression technique SVD, BTC DWT DCT to compress it. After that we find various parameters i.e. compression ratio, MSE, BPP, PSNR from each image compression technique and then compare each technique's parameters from one another.