Increasing the quality of reconstructed image through hybrid compression technique

A novel image compression algorithm based on the combination of three different techniques is presented. First, the image is compressed using PCA and then DCT is applied to the reconstructed image acquired from PCA technique. The reconstructed image from the block based DCT method is further compressed through the DWT based Set Partitioning In Hierarchical Trees (SPIHT) compression technique. At last, output reconstructed image will be evaluated with variety of quality metrics. The proposed novel technique is evaluated with the various quality metrics namely PSNR, SC, SNR. The PSNR value of the proposed technique is high, when compared with other existing techniques. The experiment reveals that the proposed compression method improves the quality of the reconstructed image.