This paper presents, a hybrid method, low-resolution and high-resolution, for Persian page segmentation. In the low-resolution page segmentation, a pyramidal image structure is constructed for multiscale analysis and segments document image to a set of regions. By high-resolution page segmentation, by connected components analysis, each region is segmented to homogeneous regions and identifyi...

Fast Multiscale Directional Filter Bank (FMDFB) is an image representation scheme used in several image processing applications. The statistical nature of the FMDFB subbands is analyzed, and a mathematical model of FMDFB coefficients is proposed. Experimental results are justified by goodness-of-fit tests.

This paper aims to outline the General Adaptive Neighborhood Image Processing (GANIP) approach [1–3], which has been recently introduced. An intensity image is represented with a set of local neighborhoods defined for each point of the image to be studied. These so-called General Adaptive Neighborhoods (GANs) are simultaneously adaptive with the spatial structures, the analyzing scales and the ...

Image texture is a complex visual perception. With the everincreasing spatial resolution of remotely sensed data, the role of image texture in image classification has increased. Current approaches to image texture analysis rely on a single band of spatial information to characterize texture. This paper presents a multiscale approach to image texture where first and secondorder statistical meas...

Multiscale signal analysis has been used since the early 1990s as a powerful tool for image processing. Nonlinear PDEs and multiscale morphological filters can be used to create nonlinear operators that have advantages over linear operators, notably preserving important features such as edges in images. In this report, we present the nonlinear Hamilton-Jacobi PDEs commonly used as filters for i...

The multiscale retinex with color restoration (MSRCR) continues to prove itself in extensive testing to be a very versatile automatic image enhancement algorithm that simultaneously provides dynamic range compression, color constancy, and color rendition. However, issues remain with regard to the resiliency of the MSRCR to different image sources and arbitrary image manipulations which may have...

Segmentation of medical image data plays a crucial role in image processing. Manual tracing of the object boundaries by a specialist is a time-consuming task and is subject to operator variability. Edge information contains important characteristics of image content. Fully automatic segmentation procedures are still far from satisfactory in many real situations. In this thesis, the well-known m...

Introduction Multiscale image analysis has gained firm ground in computer vision, image processing and models of biological vision. The approaches however have been characterised by a wide variety of techniques, many of them chosen ad hoc. Scale-space theory, as a relatively new field, has been established as a well founded, general and promising multiresolution technique for image structure an...

To a significant degree, multimedia applications derive their effectiveness from the use of color graphics, images, and videos. In these applications, human visual system (HVS) often gives the final evaluation of the processed results. In this paper, we first propose a novel color image enhancement method, which is named HVS Controlled Color Image Enhancement and Evaluation algorithm (HCCIEE al...

this paper presents, a hybrid method, low-resolution and high-resolution, for persian page segmentation. in the low-resolution page segmentation, a pyramidal image structure is constructed for multiscale analysis and segments document image to a set of regions. by high-resolution page segmentation, by connected components analysis, each region is segmented to homogeneous regions and identifying...