Building sensible processing-structure-property (PSP) links to gain fundamental insights and
understanding of materials behavior has been the focus of many works in computational …

Image quality assessment (IQA) has been a topic of intense research over the last several
decades. With each year comes an increasing number of new IQA algorithms, extensions of …

A non-parametric method for texture synthesis is proposed. The texture synthesis process
grows a new image outward from an initial seed, one pixel at a time. A Markov random field …

We present a universal statistical model for texture images in the context of an overcomplete
complex wavelet transform. The model is parameterized by a set of statistics computed on …

Image inpainting involves filling in part of an image or video using information from the
surrounding area. Applications include the restoration of damaged photographs and movies …

An algorithm for the simultaneous filling-in of texture and structure in regions of missing
image information is presented in this paper. The basic idea is to first decompose the image …

The existence of large image datasets such as the set of photos on the World Wide Web
make it possible to build powerful generic models for low-level image attributes like color …

A variational approach for filling-in regions of missing data in digital images is introduced.
The approach is based on joint interpolation of the image gray levels and gradient/isophotes …

Texture synthesis is important for many applications in computer graphics, vision, and image
processing. However, it remains difficult to design an algorithm that is both efficient and …

We present a statistical view of the texture retrieval problem by combining the two related
tasks, namely feature extraction (FE) and similarity measurement (SM), into a joint modeling …