The reflectance of inhomogeneous objects can be described as a linear combination of diffuse and specular reflection components. Most computer vision algorithms assume that visually observable surfaces consist only of diffuse reflection. The existence of specular reflection can be misleading to these computer vision algorithms. A new algorithm dark channel prior based specularity removal is pro...

In this paper, we propose a method for detection of small moving objects in video. We first eliminate the camera motion using motion compensation. We then use an adaptive predictor to estimate the current pixel using neighboring pixels in the motion compensated image and, in this way, obtain a residual error image. Small moving objects appear as outliers in the residual image and are detected u...

Locally preserving projection (LPP) does not take advantage of the spatial correlation of pixels in the image, and the pixels are considered as independent pieces of information. In this paper, a kernel based manifold learning feature extraction method which considers spatial relationship of neighboring pixels, called supervised composite kernel locality preserving projection (SCKLPP), is propo...

Two improved local-region filters, adaptive weighted filter (AWF) and collaborative representation filter (CoRF), are proposed for feature extraction and classification in hyperspectral imagery. The local-region filters generate spatial-spectral features of a hyperspectral pixel by incorporating its surrounding pixels. The work of this paper is an extension of our previously introduced local av...

We introduce a new class of dithering methods called N-candidate methods. The main idea is that the output color is randomly chosen among several candidate colors so that the estimated color average would be preserved. The dithering process is pixelwise without any interaction with the neighboring pixels. The N-candidate methods are thus location invariant, which has two benefits: (1) the algor...

This paper presents an approach for detecting microcalcifications in digital mammograms. The microcalcifications appear i n small clusters of few pixels with relatively high intensity compared with their neighboring pixels. The processing scheme used here focuses on detection of microcalcification in a very weak contrast to their background and presents a computerized technique to identify the ...

This paper presents an autonomous agent-based image segmentation approach. In this approach, a digital image is viewed as a two-dimensional cellular environment in which the agents inhabit and attempt to label homogeneous segments. In so doing, the agents rely on some reactive behaviors such as breeding and diffusion. The agents that are successful in finding the pixels of a specific homogeneou...

This paper addresses an order-independent parallel thinning algorithm. This algorithm is a two-pass, iterative and parallel processing. In pass-1 the entire image is thinned uniformly to two-pixel thick. In pass-2 the two-pixel thick image is further thinned to one pixel thick image without leaving any two pixels in the resultant image. The thinning process is based on weight-values. The weight...

A novel approach for the lossless compression of gray images is presented. A prediction process is performed followed by the mapping of prediction residuals. The prediction residuals are then split into bit–planes. Twodimensional (2D) differencing operation is applied to bitplanes prior to segmentation and classification. Performing an Exclusive-OR logic operation between neighboring pixels in ...