Image Quality Assessment Based on Inter-Patch and Intra-Patch Similarity

Image Quality Assessment Based on Inter-Patch and Intra-Patch Similarity

In this paper, we propose a full-reference (FR) image quality assessment (IQA) scheme, which evaluates image fidelity from two aspects: the inter-patch similarity and the intra-patch similarity. The scheme is performed in a patch-wise fashion so that a quality map can be obtained. On one hand, we investigate the disparity between one image patch and its adjacent ones. This disparity is visually...

Patch-Based Image Classification Using Image Epitomes

Automatic image classification has many practical applications, including photo collection organization and image search. In this project I approach the image classification task through the use of image epitomes. The epitome of an image is a probabilistic model that serves as a compact representation of the shape and texture information present in the original image. I first create a collage o...

Image Inpainting Through Quality Based Patch Selection Matrix

Image inpainting refers to the set of techniques which include filling-in of missing area (known as holes) in a picture such that modifications made to the picture are unnoticeable. The algorithms for image inpainting that are proposed in the literature are rooted on the concept to fill-in the holes by means of available information in the surroundings. This information can be automatically det...

Statistical and Adaptive Patch-based Image Denoising

Unsupervised Patch-Based Image Regularization and Representation

A novel adaptive and patch-based approach is proposed for image regularization and representation. The method is unsupervised and based on a pointwise selection of small image patches of fixed size in the variable neighborhood of each pixel. The main idea is to associate with each pixel the weighted sum of data points within an adaptive neighborhood and to use image patches to take into account...