The histogram of image intensities is used extensively for the retrieval of images from visual databases. An obvious way to extend this feature is to compute the histograms of multiple resolutions of an image. Both this extension and the plain histogram are fast to compute, space efficient, invariant to rigid motions, and robust to noise. In addition, the histograms over multiple image resoluti...

Histogram warping is a novel histogram specification technique for use in color image processing. As a general purpose tool for color correction, our technique constructs a global color mapping function in order to transform the colors of a source image to match a target color distribution to any desired degree of accuracy. To reduce the risk of color distortion, the transformation takes place ...

Histogram computation is the crucial task used in processing so many image guided applications like pattern recognition, segmentation etc. Image registration one of fundamental techniques for pre-processing images. Registration process overlaying multiple images to geometrically align them. In medical processing, improper can have negative impact on analysis which influences final diagnosis. Th...

A method for matching two different images is discussed in this paper. Image matching is to match an image with other image that may has different properties. In the matching, generally the images are the same in appearance, may contain quite different contents. If there is no noise, identical pixel value and unchanged edges in those, image matching process can be operated by very simple model....

In this paper, we propose a novel hierarchical framework that combines motion and feature information to implement infrared-visible video registration on nearly planar scenes. In contrast to previous approaches, which involve the direct use of feature matching to find the global homography, the framework adds coarse registration based on the motion vectors of targets to estimate scale and rotat...

The success rates of Optical Character Recognition (OCR) systems for printed Malayalam documents is quite impressive with the state of the art accuracy levels in the range of 85-95% for various. However for real applications, further enhancement of this accuracy levels are required. One of the bottle necks in further enhancement of the accuracy is identified as close-matching characters. In thi...

In this paper we present properties of an image retrieval system based on color matching. The implemented procedure is presented as a simplified pseudocode presentation of the system. Once histogram has been calculated and saved on the disk, it can be used for analysis. The simulation results are also presented.

We consider model-based object detection for traffic surveillance, aiming at object classification. Within detected regions-of-interest (ROIs) of moving objects in the scene, the orientation of the object is detected using a histogram of gradient directions. For the calculated orientation, a 3D wire-frame model is projected onto the image data and the best matching pixel-position is calculated ...

Multimedia Super-Resolution (SR) reconstruction is an essential and mandatory process for different visualization functions. Recently, several schemes have been suggested single- multi-image SR reconstruction. This work presents effective scheme visual quality resolution enhancement of 3D Video (3DV) sequences. The idea behind the proposed 3DV utilization a recursive Bayesian algorithm improvin...

A natural color mapping method has been previously proposed that matches the statistical properties (mean and standard deviation) of night-vision (NV) imagery to those of a daylight color image (manually selected as the “target” color distribution). Thus the rendered NV image appears to resemble the target image in terms of colors. However, in this prior method the colored NV image may appear u...