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Image Restoration and Secure Image Transmission

Geethu V. M.

Abstract


Digital image processing is an acceptable practice in forensic science. We have to verify the quality of digital images. In many applications like, producing the digital image as evidence for proving a case in a court-room, so we have to clear all data in a digital image. Image restoration on attempts to reconstruct or recover an image that has been degraded by a degradation phenomenon. Restoration is the inverse process in order to recover the original image. The restored image is not the original image, its approximation of actual image. Number of inverse problems are included in image restoration, such as denoising, deblurring, super-resolution, inpainting and devignetting. So in this paper introducing a new mechanism for image restoration with full reference quality assessment mechanism. This is the two scheme process. First scheme including Image restoration and second scheme is the image assessment mechanism for the restored images. The image denoising is done using Gaussian mixture model. Deep neural network is used for the quality assessment mechanism, for the feature extraction using ten convolutional layers and five pooling layers, for regression using two fully connected networks. This is the combined version of the image restoration and image assessment.

 

Keywords: Image Processing, digital forensics, contrast enhancement, enhancement detection


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References


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