This paper explores the mathematical and algorithmic properties of two sample-based microtexture models: random phase noise (RPN ) and asymptotic discrete spot noise (ADSN ). Thes...
Abstract. This paper proposes a novel method to deal with the representation issue in texture classification. A learning framework of image descriptor is designed based on the Fish...
Abstract. Texture synthesis aims to define and reproduce discriminating image features. These features are used to associate with and differentiate between two textures. Often tex...
The article deals with the problem of texture description. It presents a statistical approach. Specifically it introduces the use of first- and second-order statistics on textur...
We present a method to improve the validity of noise and resolution measurements on digital cameras. If non-linear adaptive noise reduction is part of the signal processing in the...