The image registration by digital cameras and video cameras requires digital filters to be posed onto the photo-sensitive sensors (CCD and CMOS). The filters are arranged in patterns across the face of the image sensing array. The most commonly used color filter array is Bayer pattern. An alternative of this pattern is a Pseudo-Random Bayer color filter array (CFA). Its structure differs consid...

Robust moving target tracking has become an important topic in the field of computer vision. The fusion of feature such as color, texture, edge strength and motion has proved to be a promising approach to robust visual tracking in situations where no single feature is suitable. Due to the poor tracking performance in complicated scenarios, a new visual target tracking scheme is proposed. This a...

Recent developments in spatio-spectral sampling theory for color imaging devices show that the choice of color filter array largely determines the spatial resolution of color images achievable by subsequent processing schemes such as demosaicking and image denoising. This paper highlights the cost-effectiveness of a new breed of color filter array patterns based on this sampling theory by detai...

A new effective algorithm for removing impulse noise from color images is proposed. First, a color image is transformed to the YCbCr color space that perfectly separates the intensity and color information. Next, outliers are detected using spatial relations between transformed image components. The detected noise pixels are replaced with the output of a modified vector median filter over a spa...

A novel hierarchical approach for image retrieval is proposed in this paper. First, a color label histogram is used to effectively filter out the images that are not similar to the query image in color. The color label matrix is built by categorizing the pixel colors into a set of 13 colors and by labeling each pixel based on its color category ID. Next, the class parameters of those images pas...

When surfaces are overlaid by a transparent filter, color scission refers to the perceptual separation of the colors of the image into the colors of the underlying surface and the color of the overlaying layer. We used filter matching to measure the accuracy of color scission for simulated physical filters and materials. Standard filters were placed on various sets of chromatic materials and ma...

Various nonlinear, fixed-neighborhood techniques based on local statistics have been proposed in the literature for filtering noise in color images. We present adaptive-neighborhood filtering (ANF) techniques for noise removal in color images. The main idea is to find for each pixel (called the “seed” when being processed) a variable-shaped, variable-sized neighborhood that contains only pixels...

The visual images in the eyes contain much more information than the brain can process. An important selection mechanism is feature-based attention (FBA). FBA is best described by attention filters that specify precisely the extent to which items containing attended features are selectively processed and the extent to which items that do not contain the attended features are attenuated. The cen...

A new Decision based algorithm for impulse identification in color images is proposed. In vector median filter all the pixels are processed irrespective of whether it is corrupted or uncorrupted. The proposed algorithm overcomes this drawback where Vector Median is calculated only if the processing pixel is corrupted. This in turn reduces the computation time. The proposed algorithm gives bette...

With increased digital images in image repositories efficient indexing and searching becomes essential for large image archives. Content based image retrieval system (CBIR) retrieve relevant images using low-level features like color, texture and shape for image representation. In this approach, a scheme of novel color image retrieval based on visual interest point is presented. The existing sy...