Double Compression Of JPEG Image Using DWT Over RDWT
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2015, Vol 4, Issue 11
Abstract
Reconstruction of the history of an image is a difficult process with visual document analysis. Suppose, if an image undergo double compression, then the compressed image is not the exact bit stream generated by the camera at the time of captured. This is possible by predicting the bits that were not provided by the sensor device. The forensics and for reconstructing the image the following process is applied. Selecting the quantization in a structural way is performed. The selection of only first quantization is because the second quantization produces a low level of pixels when compared to the first level bits. The quantization matrix will help in obtaining the range extension and can reduce the long estimations; this will help in detecting the error when the system is compressed. To improve the results, quantization step estimation is proposed for this a filtration approach has to be applied. The existing technique Discrete Cosine Transformation is improved by implementing the DWT and RDWT. Hence these proposed techniques DWT and RDWT are to be implemented and the experimental results are to be compared in a programmatic way (i.e., MATLAB Software). This shows the effectiveness of the proposed models.
Authors and Affiliations
Pamarthi Naga Basaveswara Swamy, Gottipati. Srinivas Babu
Keywords
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