Color in an image is resolved to 3 or 4 color components and 2-Dimages of these components are stored in separate channels. Most of the color image enhancement algorithms are applied channel-by-channel on each image. But such a system of color image processing is not processing the original color. When a color image is represented as a quaternion image, processing is done in original colors. Th...

This paper introduces a new {k, n}-secret sharing scheme for color images. The proposed method encrypts the color image into n color shares. The secret information is recovered only if the k (or more) allowed shares are available for decryption. The proposed method utilizes the conventional {k, n}-secret sharing strategy by operating at the bit-levels of the decomposed color image. Modifying th...

In this paper, we propose a method to represent the image based on the image color constitute region, to retain the color texture information, and to reconstruct image by interpolation. The image would be segmented by the watershed algorithm to get color gradient direction as the texture information, and be represented by asymmetric and anti-packing model. The gradient direction would indicate ...

A novel color image watermarking scheme based on DWT (Discrete Wavelet Transform) and QR decomposition is proposed to embed color watermark image into color host image. Firstly, the each component of the color host image is transformed by one-level DWT, and further divided to 4 4 non-overlapping pixel blocks. Then, each selected pixel block is decomposed by QR decomposition and the first row el...

In this paper we describe a color image segmentation system that performs color clustering in a color space and then color region segmentation in the image domain. For color segmentation, we developed a fuzzy clustering algorithm that iteratively generates color clusters using a uniquely de"ned fuzzy membership function and an objective function for clustering optimization. The fuzzy membership...

In a picture of a bright scene, camera sensor readings may be saturated to a maximal value. This results in loss of variation and color distortion of bright regions in the image. We present an algorithm that exploits data from uncorrupted channels to recover image details and color information. The correction is based on the Color Lines model for image representation in RGB color space. Given a...

Digital Color Image required large amount of space to store and large bandwidth to transmit it. Due to limitations in bandwidth and in storage space, it is vital requirement to compresses digital color image. Color image compression is required with negligible loss in image quality for the effective use of further restored image. To meet this, numerous image compression techniques are developed...

content based image retrieval from large databases has turn into a field of broad attention these days in much application. In this paper we present new image retrieval system that employs color as image features to illustrate the content of an image region. Our work presents an evaluation of the proposed CBIR systems: CM, DM, HA, RGBC and ED. These methods boost the retrieval precision of our ...

Color image segmentation is a very emerging topic in current image processing research. An optimal technique for the same is always sought by the researchers of this field. In this paper, an efficient approach for color image segmentation is proposed. Here, the input color image is first converted from RGB to HSV color space. The V channel of the HSV converted image is extracted and normalized ...

A new method to extract map elements from color cartographic maps was developed. The proposed method is divided into three major sections: pre-processing, crude color segmentation, and extraction of map elements using their shapes. The whole segmenting process was done in the HSV color coordinates[l] instead of the RGB color coordinates. The preprocessing transforms the inputted RGB image into ...