IEEE Trans Pattern Anal Mach Intell - Objective Assessment of Multiresolution Image Fusion Algorithms for Context Enhancement in Night Vision: A Comparative Study.

Tópicos

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Resumo

Comparison of image processing techniques is critically important in deciding which algorithm, method, or metric to use for enhanced image assessment. Image fusion is a popular choice for various image enhancement applications such as overlay of two image products, refinement of image resolutions for alignment, and image combination for feature extraction and target recognition. Since image fusion is used in many geospatial and night vision applications, it is important to understand these techniques and provide a comparative study of the methods. In this paper, we conduct a comparative study on 12 selected image fusion metrics over six multiresolution image fusion algorithms for two different fusion schemes and input images with distortion. The analysis can be applied to different image combination algorithms, image processing methods, and over a different choice of metrics that are of use to an image processing expert. The paper relates the results to an image quality measurement based on power spectrum and correlation analysis and serves as a summary of many contemporary techniques for objective assessment of image fusion algorithms.

Resumo Limpo

comparison imag process techniqu critic import decid algorithm method metric use enhanc imag assess imag fusion popular choic various imag enhanc applic overlay two imag product refin imag resolut align imag combin featur extract target recognit sinc imag fusion use mani geospati night vision applic import understand techniqu provid compar studi method paper conduct compar studi select imag fusion metric six multiresolut imag fusion algorithm two differ fusion scheme input imag distort analysi can appli differ imag combin algorithm imag process method differ choic metric use imag process expert paper relat result imag qualiti measur base power spectrum correl analysi serv summari mani contemporari techniqu object assess imag fusion algorithm

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