Global overlapping block based reconstruction using exact Legendre moments

Zaineb Bahaoui, Khalid Zenkouar, A. Zarghili, H. E. Fadili, H. Qjidaa
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引用次数: 3

Abstract

In this paper, we propose a novel method for reconstruction of the multi-gray level images using the exact computation of Legendre moments. The purpose of this method is to ensure high accuracy and low computation time, by dividing the image into a set of blocks instead of treating the whole image. For mitigating the blocking artifact involved in the reconstruction process, we propose a new approach based on block Reconstruction using a Global Overlapping Block and Exact Legendre Moments computation (GOBRELM). A typical comparison of the proposed method with the conventional ones concludes to very impressive and promising results concerning image quality and time consuming. The main motivation of the proposed approach is to allow fast and efficient reconstruction algorithm, with improvement of the reconstructed image quality and time consumption. This makes our method attractive for real time applications.
基于精确勒让德矩的全局重叠块重建
本文提出了一种利用勒让德矩的精确计算来重建多灰度图像的新方法。该方法将图像分割成一组块,而不是对整个图像进行处理,从而保证了较高的精度和较低的计算时间。为了减轻重构过程中涉及的块伪影,我们提出了一种基于全局重叠块和精确勒让德矩计算(GOBRELM)的块重构方法。将该方法与传统方法进行了典型比较,在图像质量和耗时方面取得了令人印象深刻的结果。该方法的主要动机是允许快速高效的重建算法,同时提高重建图像的质量和时间消耗。这使得我们的方法对实时应用程序很有吸引力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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