This paper presents a proposed technique for texture recognition which depends on the combination of Discrete Cosine Transform (DCT) with Fast Discrete Curvelet Transform (FDCvT) via Wrapping.The proposed technique includes two stages, the first stage is implemented by taking individual natural textures (wood, stone and grass) with several positions and calculation of the features vector (Mean ...

Denoising techniques that are based on modifying the transform of an image are considered here. In these techniques, a reversible, linear transform (such as transforms discussed in Chapter 2) is used to map the noisy image into a set of transform coefficients, which are then filtered using a suitable thresholding technique. Fig. 4.1 shows a typical denoising system that uses transform technique...

In this paper, we propose a novel scheme for image compression by the curvelet transform. Curve functions are effective in representing functions that have discontinuities along straight lines. Normal wavelet transforms fail to represent such functions effectively. Modification of the traditional JPEG method based on region-of-interest coding is achieved and used curvelet transform. The modific...

In this paper, an efficient local appearance feature extraction method based the multi-resolution Curvelet transform is proposed in order to further enhance the performance of the well known Linear Discriminant Analysis(LDA) method when applied to face recognition. Each face is described by a subset of band filtered images containing block-based Curvelet coefficients. These coefficients charact...

This paper introduces curvelet transform and gradient vector flow (GVF) snake to improvement accuracy in edge detection of waterway from remote sensing images. Multi-scale geometric analysis (MGA) is booming hot research topic in recent years, which aims to obtain flexible, fast and effective signal processing algorithms through efficient approximation and characterization for the inherent geom...

In this paper, we propose a new feature extraction approach for face recognition based on Curvelet transform and local binary pattern operator. The motivation of this approach is based on two observations. One is that Curvelet transform is a new anisotropic multi-resolution analysis tool, which can effectively represent image edge discontinuities; the other is that local binary pattern operator...