In recent years wavelet shrinkage denoising has become the method of choice for the denoising of images. However, despite much research a number of questions remain. Which of the many wavelets that exist should one use? How should the threshold be set? and How are features in the image affected by the thresholding operation? This paper explores these issues and argues for the use of non-orthogo...

Separating halftones from text is an important step in document analysis. We present an algorithm that accurately extracts halftones from other information in printed documents. We treat halftone extraction as a texture-segmentation problem. We show that commonly used halftones, consisting of a pattern of dots, can be viewed as a texture. This texture exhibits a distinct spectral component that...

In this paper, we present Scene Structural Matrix (SSM) and apply it to the retrieval of landscape images. The SSM captures the overall structural characteristics of the scene by indexing the geometric features of the image. A binary image tree (bintree) is used to partition the image and from which we derive multi-resolution geometric structural descriptors of the image. It is shown that SSM i...

This paper summarises activities from the iCLEF 2009 task. As in 2008, the task was organised based on users participating in an interactive cross-language image search experiment. Organizers provided a default multilingual search system (Flickling) which accessed images from Flickr, with the whole iCLEF experiment run as an online game. Interaction by users with the system was recorded in log ...

We propose an efficient blind/no-reference image quality assessment algorithm using a log-derivative statistical model of natural scenes. Our method, called DErivative Statistics-based QUality Evaluator (DESIQUE), extracts image quality-related statistical features at two image scales in both the spatial and frequency domains. In the spatial domain, normalized pixel values of an image are model...

primary sedimentary and secondary structural and diagenetic processes are responsible for heterogeneity in carbonate reservoirs and recognition of these factors is very essential subject in modeling these reservoirs. image logs are very useful for identification of structures and small scale sedimentary features. in this research, using image analysis of formation microimager log (fmi) in a dri...

An X-ray/Clincal medical image generally suffers from low contrast quality and degradations which vary from one region to another. Extraction of features in medical science and image processing is a matter of study and research. X-rays contain high redundancy, as far as background information is considered and in a way govern local image statistics. Contrast enhancement techniques based on visu...

The biometrics are used to identify a person effectively. In this paper, we propose optimised Face recognition system based on log transformation and combination of face image features vectors. The face images are preprocessed using Gaussian filter to enhance the quality of an image. The log transformation is applied on enhanced image to generate features. The feature vectors of many images of ...