We present a multiresolutional algorithm that segments a compound document and uses the results of the segmentation for document enhancement in copier applications. The document is initially segmented into halftone and non-halftone areas. Based on this segmentation the location of the edges due to text, graphics, and images (and not due to halftone dots) are detected on halftone as well as on n...

Adaptive methods are defined and experimentally studied for a two-scale edge detection process that mimics human visual perception of edges and is inspired by the parvo-cellular (P) and magno-cellular (M) physiological subsystems of natural vision. This two-channel processing consists of a high spatial acuity/coarse contrast channel (P) and a coarse acuity/fine contrast (M) channel. We perform ...

This paper compares filtering methods for automated breast ultrasound images. The Perona-Malik diffusion filter, the diffusion stick filter and a simple median filter are evaluated as preprocessing methods for segmentation and characterization of lesions in breast ultrasound. In particular, preservation of small relevant image features, edge enhancement characteristics, and computational costs ...

We propose a new edge enhancer based on a modified multilayer neural network, which is called a neural edge enhancer (NEE), for enhancing the desired edges clearly from noisy images. The NEE is a supervised edge enhancer: Through training with a set of input noisy images and teaching edges, the NEE acquires the function of a desired edge enhancer. The input images are synthesized from noiseless...

Edge enhancement is an operation commonly employed in image processing. Usually the edge slope is steepened by the applying a linear filter that amplifies the high spatial frequency content of an image. This often results in the amplification of noise and in ringing or over-enhancement of edges that are already sharp. The rank filter is a nonlinear filter. The output value for a pixel is obtain...

We have developed a technique for color image enhancement based on a model of the Human Visual System HVS A color image represented by RGB is rst transformed into a color space based on the HVS cone response characteristics Subsequently chromatic correlation reduction and energy compression is realized by using a multispectral Karhunen Lo eve transform KLT of the cone responses This yields a co...

Due to dynamic range compression and contrast enhancement realized simultaneously in traditional image enhancement algorithm based on frequency domain, which cause the low contrast degree, an improved image enhancement algorithm based on fuzzy filter is proposed in this paper. According to subjective feeling of the human visual system to light luminance, the image is processed with the global b...

Today’s fast growing world needs fast communication, either it may be voice or data .This calls for a new technology which is faster than all existing technologies in mobile communication and hence can replace technologies like GPRS .Enhanced Data for Global Evolution (EDGE) is such a technology .EDGE is a member of global system for mobile communications(GSM). In short EDGE is a technology whi...

Background: The major limitation in human vision is refractive error. Auxiliary equipment and methods for these people are not always available. In addition, limited range of accommodation in adult people when switching from a far point to a near point is not simply possible. In this paper, we are looking for solutions to use the facilities of digital image processing and displaying to improve ...