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Efficient Image Integration Technique: Mismatch of Subjective and Objective Analysis

机译:高效图像集成技术:主观和客观分析不匹配

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摘要

The paper intends to extract features with high visual quality during image fusion. An improved image fusion algorithm is presented, aiming to preserve necessary features and relevant information, simultaneously focusing on highly enhanced visual results. The resultant fused image obtained is superior to other images obtained from other state-of-the-art techniques with respect to visual quality. A novel and improved image fusion algorithm is presented, which outperforms the other eight state-of-the-art techniques of image fusion. The proposed methodology includes a combinational approach of anisotropic diffusion and Laplacian pyramid leading to image enhancement. The paper also reveals a contradiction of the visual results with respect to objective results.
机译:本文旨在在图像融合期间提取具有高视觉质量的特征。提出了一种改进的图像融合算法,旨在保留必要的特征和相关信息,同时关注高度增强的视觉结果。所得到的熔融图像优于与视觉质量相对于视觉质量从其他最先进的技术获得的其他图像。提出了一种新颖的和改进的图像融合算法,其占八种最新的图像融合技术。该提出的方法包括一种各向异性扩散和拉普拉斯金字塔的组合方法,导致图像增强。本文还揭示了视觉结果关于客观结果的矛盾。

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