While texture synthesis has been well-studied in recent years, real-time techniques remain elusive. To help facilitate real-time texture synthesis, we divide the task of texture synthesis into two phases: a relatively slow analysis phase, and a real-time synthesis phase. Any particular texture need only be analyzed once, and then an unlimited amount of texture may be synthesized in real-time. O...

Texture synthesis is the field of computer graphics and related basic core issues. Studies have shown that the MRF model-based two-dimensional image texture synthesis algorithm, the synthesis results are directly affected by the magnitude of the impact of random images; that is consistent with a high degree of MRF model is better than other texture synthesis texture. The same time, the quality ...

Probabilistic models of textures should be able to synthesize specific textural structures, prompting the use of filter-based Markov random fields (MRFs) with multi-modal potentials, or of advanced variants of restricted Boltzmann machines (RBMs). However, these complex models have practical problems, such as inefficient inference, or their large number of model parameters. We show how to train...

In this paper we present a non-causal non-parametric multiscale Markov random field (MRF) texture model that is capable of synthesising a wide variety of textures. The textures that this model is capable of synthesising vary from the highly structured to the stochastic type and include those found in the Brodatz album of textures. The texture model uses Parzen estimation to estimate the conditi...

Texture analysis and synthesis is very important for computer graphics, vision, and image processing. This paper describes an algorithm which can produce new textures with a matching visual appearance from a given example image. Our algorithm is based on a model that characterizes textures using a nonlinear deterministic function. During analysis, an example texture is summarized into this func...

Texture replacement in real images has many applications, such as interior design, digital movie making and computer graphics. The goal is to replace some specified texture patterns in an image while preserving lighting effects, shadows and occlusions. To achieve convincing replacement results we have to detect texture patterns and estimate lighting map from a given image. Near regular planar t...

This paper present a texture compression technique for still images based on the wavelet transform and the auto-regressive (AR) texture model in order to increase the compression ratio with a minimal loss of image quality. First the influences of the initial condition and the order of an AR model on the resulting texture model are investigated to serve as a theoretical foundation for the propos...

In four studies children were asked to read aloud a passage of randomly ordered common words with and without a coloured sheet of plastic (overlay) placed upon the page. The children's rate of reading increased with the overlay, for some children more than for others. The children were also asked to undertake a test of texture segmentation in which targets consisting of a structured texture had...

Texture mapping is a technique for adding visual realism to the computer generated images. As the level of realism increases with the number and the resolution of textures, we are faced with the problem of limited texture memory space. Moreover, in order to alleviate the aliasing artefacts many graphics systems use the mipmapping technique which needs to store additionally the texture pyramid. ...