Performance analysis of sub-band replacement DWT based image compression technique

The area of image processing has offered remarkable ideas and competent compression algorithms in the past few decades. The accretion of data generated by applications validate the use of different image compression schemes to decrease the storage space and time for transferring the images over the link. Each of the compression schemes provide different image quality metrics viz. PSNR, MSE, Compression ratio, Normalized Cross Correlation, Normalized Absolute Error etc. This paper implements and evaluates the performance of a unique image processing scheme for color images known as `Sub-band Replacement DWT technique´. This scheme is primarily used for compressing high resolution images with substantial amount of background. It presents the evaluation of the implemented algorithm in comparison with the performance of other compression schemes viz. JPEG Lossy and K-Means. The `Sub-band Replacement DWT technique´ proves to be a dominant technique for hyper-spectral images with improved quality parameters achieving 45-56dB PSNR.