Image Restoration and Comparative Analysis
نویسندگان
چکیده
Digital images suffer blurring from various known and unknown point spread functions. Image restoration from degraded image is very big problem in image processing. Image restoration is a process by which a noisy or degraded image is converted into nearly an original image. Improvement in the appearance of the image is done by image restoration. In this paper a Memetic Algorithm is used to restore different simulated images. The algorithm runs for each position of whole image. The algorithm converges to a globally optimal restoration. Algorithm is based on extended neighbourhood search, so that local search area optimize to achieve high PSNR in less number of iteration. To narrow the solution space population is initialized by hill climbing method. To evaluate the proposed results a number of experiments have been done and quantitatively different standard parameters are employed that are PSNR, UIQI and Q factor.
منابع مشابه
Image Restoration Using A PDE-Based Approach
Image restoration is an essential preprocessing step for many image analysis applications. In any image restoration techniques, keeping structure of the image unchanged is very important. Such structure in an image often corresponds to the region discontinuities and edges. The techniques based on partial differential equations, such as the heat equations, are receiving considerable attention i...
متن کاملComparative Analysis of Image Deblurring Techniques
Image processing is a process to digitize the data of an image and a variety of mathematical operations are applied to enhance the image which is more applicable or pleasing to a human observer or to accomplish some of the analysis and identification tasks by computer. Due to environmental disarray or improper camera setting blur may arise in an image. Noise can also degrade the quality of a ca...
متن کاملImage Restoration by Variable Splitting based on Total Variant Regularizer
The aim of image restoration is to obtain a higher quality desired image from a degraded image. In this strategy, an image inpainting method fills the degraded or lost area of the image by appropriate information. This is performed in such a way so that the obtained image is undistinguishable for a casual person who is unfamiliar with the original image. In this paper, different images are degr...
متن کاملComparative Analysis of Image Denoising Methods Based on Wavelet Transform and Threshold Functions
There are many unavoidable noise interferences in image acquisition and transmission. To make it better for subsequent processing, the noise in the image should be removed in advance. There are many kinds of image noises, mainly including salt and pepper noise and Gaussian noise. This paper focuses on the research of the Gaussian noise removal. It introduces many wavelet threshold denoising alg...
متن کاملA Comparative Study Algorithm for Noisy Image Restoration in the Field of Medical Imaging
This paper presents the performance analysis of different basic techniques used for the image restoration. Restoration is a process by removing blur and noise from image and get back the original form. Medical images play a vital role in dealing with the detection of various diseases in patients and they face the problem of salt and pepper noise and Gausian noise. Hence restoration is performed...
متن کاملImportance of Statistical Measures in Digital Image Processing
This paper presents the comprehensive study of the various statistical measures and their application in digital image processing at root level. We have simulated the majority of statistical measures and reviewed their existing applications. Also we have explored and proposed their importance in some more research area of digital image processing. We have done their comparative analysis with th...
متن کامل