Blind self-authentication of images for robust watermarking using integer wavelet transform
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PROJECT TITLE : NLH A Blind Pixel-Level Non-Local Method for Real World Image Denoising ABSTRACT: Using non-local self similarity (NSS) as an image denoising prior is powerful. Patch-level NSS priors are used in most existing
Color Deconvolution of Histopathological Images Using Variational Bayesian Blind Color Deconvolution
PROJECT TITLE : Variational Bayesian Blind Color Deconvolution of Histopathological Images ABSTRACT: In most whole-slide histology images, two or more chemical dyes are used. In digital pathology, slide stain separation or colour
PROJECT TITLE : A Blind Stereoscopic Image Quality Evaluator With Segmented Stacked Autoencoders Considering the Whole Visual Perception Route ABSTRACT: Blind stereoscopic image quality assessment (SIQA) methods currently in use
PROJECT TITLE : Blind Deblurring of Natural Stochastic Textures Using an Anisotropic Fractal Model and Phase Retrieval Algorithm ABSTRACT: It has been thoroughly researched for natural photographs the tough inverse problem of
PROJECT TITLE : Graph-Based Blind Image Deblurring From a Single Photograph ABSTRACT: Deblurring an image without knowing the blur kernel is an extremely difficult task. It is possible to solve the issue in two ways: A blur kernel
