Improved Reverse Engineering of Double JPEG Compression

Goel, Bhawana; Niranjan
May 2015
International Journal of Computer Science & Management Studies;May2015, Vol. 15 Issue 5, p18
Academic Journal
Image compression is to reduce irrelevance and redundancy of the image data in order to be able to store or transmit data in an efficient form. Image compression is minimizing the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. The reduction in file size allows more images to be stored in a given amount of disk or memory space. It also reduces the time required for images to be sent over the Internet or downloaded from Web pages. The need for an efficient technique for compression of Images ever increasing because the raw images need large amounts of disk space seems to be a big disadvantage during transmission & storage. The JPEG compression is among the most successful compression schemes since it readily provides good compressed results at a rather high compression ratio. However, the decompressed result of the standard JPEG decompression scheme usually contains some visible artifacts, such as blocking artifacts and Gibbs artifacts (ringing), especially when the compression ratio is rather high. This paper discusses the concept of JPEG image compression. The reverse engineering process using the NLDP and modified NLDP is also explained in the paper.


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