An Improved Algorithm for Gaussian Noise Removal in Stego Image using Shift Invariant Wavelet Transform
Images are often corrupted with noise during processing of retrieval from storage media. Image also corrupted during transmission and reception. In digital communication image transmitted in which information security is very important task so hidden information is embedded in to cover image called stego image. The information in the stego image is in the form of bit which even corrupted and error occurs in it. For purpose of photography when digital camera is used under poor lighting conditions, many black spot or dots can be observed in captured image. Stego image also degraded. Degradation comes from blurring as well as noise due to electronic and photo-metric sources. Reduction in Bandwidth of the image caused by the imperfect image formation process is Blurring.
This Article is Research By Pooja Pandey, Praveen Chouksey and published by IJSTE JOURNAL
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