Efficient Algorithm for Compressing Color Image Based on Discrete Cosine Transform

Dr. Anuj Kumar Sharma, Dr. Sandeep Sharma, Dr. Dinesh Kumar
Page No. : 143-152

ABSTRACT

Image compression is one of the basic problems in the field of image transmission through internet and to store in digital form on computers. There are lot of technique for compressing an image and we have to compress in such a way that all the precious data must be preserved with good quality that why it become very tedious task to compress an image. We implemented hybrid algorithm using Huffman coding to achieve the desire result. Our main aim is to get peak signal to noise ratio, mean square error, compression ratio and CPU processing time for DCT and IDCT. This work can be extended for the detection of Double JPEG compression. DOUBLE Joint Photographic experts group (JPEG) compression means that a JPEG image will be compressed once again by JPEG compression. The detection of double JPEG compression is of great significance in digital forensics.


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