In view of the lack image enhancement processing in traditional methods preprocessing, which leads to a long detection time for internal cracks and poor visual effects, an intelligent method aircraft landing gear images under multimedia is proposed. A spatial index structure established based on database, are enhanced denoised. Image segmentation performed according preprocessing results, crack...

<span lang="EN-US">An automated vehicle license plate recognition system using image processing techniques identifies numbers without human interference. This has significant impact because of its good application in various fields like car parking, access control, speed automatic toll collection, border security, traffic violence detection and surveillance applications. paper presents a ...

Biometrics is the science and technology of measuring and analyzing biological data of human body, extracting a feature set from the acquired data, and comparing this set against to the template set in the database. Biometric techniques are gaining importance for personal authentication and identification as compared to the traditional authentication methods. User verification systems that use ...

In this article, a prediction error preprocessor based on the just noticeable distortion (JND) for the color image compression scheme is presented. The dynamic range of prediction error signals we can reduce, the lower bit rate of the reconstructed image we can obtain at high visual quality. We propose a color JND estimator that is incorporated into the design of the preprocessor in the compres...

Image pre-processing techniques are used to improve the quality of an image before processing into an application. This uses a small neighborhood of a pixel in an input image to get a new brightness value in the output image. These preprocessing techniques are also called as filtration and resolution enhancement. The medical image quality parameters are mainly noise and resolution. The main obj...

Cellular Neural Networks (CNN) have traditionally been used to perform nonlinear operations on images such as edge detection, hole filling, etc. However, algorithms for image compression using CNN have scarcely been explored. This paper presents new templates and novel algorithms to perform basic operations used for image compression. They include wavelet subband decomposition, computation of p...

Face recognition algorithms have to deal with significant amounts of illumination variations between gallery and probe images. State-of-the-art commercial face recognition algorithms still struggle with this problem. We propose a new image preprocessing algorithm that compensates for illumination variations in images. From a single brightness image the algorithm first estimates the illumination...

This paper presents a new, simple and robust image enhancement algorithm for image analysis by modifying the gamma value of its individual pixels. Considering the fact that gamma variation for a single image is actually nonlinear, the proposed method locally estimates the gamma values in an image. First, for local gamma correction the image is divided to overlapping windows and then the gamma v...

Quality measure of the data picture to any handling is of most extreme significance as this would help in enhancing the procedure the picture is included in. The preprocessing methods are those which would help the picture to be prepared for any handling. This venture utilizes the preprocessing systems of the picture to go about as a quality analyser of any picture. This work thinks the middle ...

Image Fusion is a technique that integrates complementary information from multiple images such that the fused image is more suitable for processing tasks. The paper starts with the study of initial concepts for image fusion. In this paper, the fusion of images from different sources using multiresolution wavelet transform with preprocessing of Image Fusion is proposed. The fused image has more...