Image texture is a complex visual perception. With the everincreasing spatial resolution of remotely sensed data, the role of image texture in image classification has increased. Current approaches to image texture analysis rely on a single band of spatial information to characterize texture. This paper presents a multiscale approach to image texture where first and secondorder statistical meas...

This paper presents image segmentation and texture analysis algorithms on synthetic and real images. This research work demonstrates the considerable variability in an image understanding system performance based on different choices of image segmentation and texture analysis algorithms used. This research work includes results of a segmentation method to extract the object based on color and t...

This paper describes the use the granold texture representation for image texture classification. The granold uses two different parameterised monotonic mappings to transform an input image into a function on two dimensions that may be regarded as a surface. The nature of this surface is such that corners appear at positions where there are simultaneously large changes in the response of the mo...

Texture synthesis has proven successful at imitating a wide variety of textures. Adding additional constraints (in the form of a low-resolution version of the texture to be synthesized) makes it possible to use texture synthesis methods for texture superresolution. The Single-image Superresolution Problem The problem we are trying to solve is the following: Given: a low-resolution image and hig...

Artistic rendering is a subset of non-photorealistic rendering with the intention of using artistic effects in rendered images. This paper looks at texture transfer as a generalized method to render digital images in artistic styles. Texture transfer algorithms transfer the source texture to a target image. Since artistic style is subjective, this algorithm has four adjustable parameters that a...