A Novel PSO Algorithm Based on Lossless Image Compression with Optimized DWT

The proficient technique for compression on images is ever increasing because the raw images need large amounts of disk space seems to be a big disadvantage during transmission and storage. In this paper, an effective encryption based image compression with optimized DWT is proposed for the efficient image compression. Initially the input image is subjected to the optimized discrete wavelet transform (DWT). Here the DWT is optimized using Genetic algorithm and this optimization results into optimized approximated and detailed sub-bands. The approximated and detailed sub-bands are then encrypted using pseudo-random number sequence and RSA encryption respectively which makes the proposed scheme more secure. Furthermore, encrypted approximation sub-band is compressed by arithmetic coding while; encrypted detail sub-band is subjected to Singular value decomposition (SVD). SVD removes the noise by eliminating few singular values. Subsequently Inverse SVD will be performed so as to restore the encrypted detail coefficients. Then the restored data will be given as the input to the LZW coding for the efficient compression. After that, the compressed approximated sub band undergoes the arithmetic decoder and pseudo random number decryption while the detailed sub band undergoes the LZW decoder and RSA decryption. Finally, the decompressed image is obtained by applying inverse optimized DWT in processed approximated and detailed coefficients. The proposed work performance will be compared with the existing method to prove the better presentation of our proposed work.