In digital color imaging, it is of interest to transform the color scene of an image to the other. Some attempts have been done in this case using, for example, lαβ color space, principal component analysis and recently histogram rescaling method. In this research, a novel method is proposed based on the Resenfeld and Kak histogram matching algorithm. It is suggested that to transform the color...

In this paper, a novel color space transform is presented. It is an adaptive transform based on the application of independent component analysis to the RGB data of an entire color image. The result is a linear and reversible color space transform that provides three new coordinate axes where the projected data is as much as statistically independent as possible, and therefore highly uncorrelat...

Most of the existing color image watermarking schemes were designed to mark the image luminance component only, which have some disadvantages: (i) they are sensitive to color attacks because of ignoring the correlation between different color channels, (ii) they are always not robust to geometric distortions for neglecting the watermark desynchronization. It is a challenging work to design a ro...

Color image enhancement is a very important pre-processing stage in face detection and face recognition applications especially when the environment is very dark. In this paper, a color color image enhancement with the adaptive filter and discrete wavelet transform (DWT) is proposed. Discrete wavelet transform is used to improve image enhancement and stationary wavelet transform is used to redu...

A new method which is suitable for enhancing the color microscopic image quality based on HSV color space and curvelet transform is presented in this paper. The color microscopic image is firstly divided into hue, saturation and value components from RGB color space to HSV color space through the color space conversion. The value component is decomposed by the curvelet transform. A modulus squa...

The detailed performance comparison of four orthogonal transforms for grayscale image colorization using Thepade’s Transform Error Vector Rotation(TTEVR) algorithm is done here with five different color pallet sizes. The Thepade’s transform error vector rotation algorithms use binary numbers represented by four error vector sequences (Haar, Cosine, Slant & Hartley). The proposed technique uses ...

Content based image retrieval (CBIR) has been possibly the greatest significant enquiry areas in computer science for the last decade. A retrieval way which mix texture, color and shape feature is future in this paper. In this research, implemented a novel method for CBIR using Hough Transform ,DCD and DWT feature with Support vector machine (SVM) as a classifier. In the process of feature extr...