Singly and Doubly JPEG Compression in The Presence Of Image Resizing

In the reverse engineering of double JPEG compression in the presence of image resizing between the different compressions detectors. The approach is based on the fact that previously JPEG compressed images tend to have a near lattice distribution property (NLDP), and that this property is usually maintained after a simple image processing step and subsequent recompression. The proposed approach represents an improvement with respect to existing techniques analyzing double JPEG compression. Moreover, compared to forensic techniques aiming at the detection of resembling in JPEG images, Further we move to steps as to provide an estimation of both the resize factor and the quality factor of the previous JPEG compression. Such additional information can be used to reconstruct the history of an image and perform more detailed forensic analyses. One of the major difficulties encountered in image processing is the huge amount of data used to store an image. Thus, there is pressing need to limit the resulting data volume. It is necessary to find the statistical properties of the image to design an appropriate compression transformation of the image; the more correlated the image data are, the more data items can be removed. The main objective of this is too designed and implemented a Different interpolation algorithm for image compression. Analyze the results using MATLAB software and wavelet toolbox and calculate various parameters such as minimum entropy, Q-factor as quality factor etc. To compress the color images without losing any contents of the images and to maintain the storage memory space.