In this paper, a general framework for image contrast enhancement algorithm based on an optimization problem is presented. Through this optimization, the intensities can be better distributed. The algorithm is based on the facts that the histogram of the enhanced image is close to the input image histogram and uniform distribution, simultaneously. Based on this fact, we obtain a closed form opt...

Introduction: In order to reduce patient setup error in treatment field, portal images with treatment beam (megavoltage x-ray) are widely used. These images are acquired by electronic portal imaging devices (EPID). However, portal images suffer from insufficient anatomical information, contrast, and spatial resolution, because of the fact that Compton scatter is the main photon...

Image segmentation is a fundamental step in many of image processing applications. In most cases the image’s pixels are clustered only based on the pixels’ intensity or color information and neither spatial nor neighborhood information of pixels is used in the clustering process. Considering the importance of including spatial information of pixels which improves the quality of image segmentati...

In this paper, we propose a colour image processing method by combining modern signal processing technique with knowledge about the properties of the human colour vision system. Colour signals are processed differently according to their visual importance. The emphasis of the technique is on the preservation of total visual quality of the image and simultaneously taking into account computation...

to improve the corrosion protection of copper metal, 0.01m concentration of 1h-1,2,4-triazole-3-thiol (tat) was incorporated into the hybrid sol-gel monolayers containing 3-glycidoxypropyltrimethoxysilane (gptms) and tetraethoxysilane (teos). it was further subjected to hydrolysis and condensation reaction to form a sol-gel matrix. the tat-doped hybrid sol-gel coating was applied over the coppe...

In this paper a novel hybrid image compression technique is proposed. This technique inherits the properties of localizing the global spatial and frequency correlation from wavelets and classification and functional approximation tasks from modified forward-only counterpropagation neural network (MFOCPN) for image compression. Several benchmark test images are used to investigate usefulness of ...

This study develops an approach to improve the quality of infrared (IR) images of vein-patterns, which usually have noise, low contrast, low brightness and small objects of interest, thus requiring preprocessing to improve their quality. The main characteristics of the proposed approach are that no prior knowledge about the IR image is necessary and no parameters must be preset. Two main goals ...

The basic problem suffered by a communication system is in the removal of additive background noise. Spectral Subtraction method (SSM) has been successfully implemented to suppress the background noise. This paper proposed a novel hybrid system for enhancing noise-corrupted speech which involves a parallel combination of Spectral Subtraction and soft thresholding method in wavelet domain for sp...

An enhanced medical decision support system for classification of Ultrasound Kidney images is developed for health care and presented in this paper. The image enhancement was done by removing the speckle, salt and pepper noises using fuzzy c means filtering and the Gray Level Coocurrence Matrix was obtained for feature extraction. Gabor wavelets and Histogram equalization were used for the sele...