Fusion of Object and Scene Based on IHS Transform and SFIM

Youdong Ding, Xiaocheng Wei, Haibo Pang, Jianfei Zhang
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引用次数: 1

Abstract

The fusion of object and scene plays an important role in image editing field, especially in the film production process. Poisson image editing technique is widely used in the object-scene fusion and a new method based on IHS transform has also been offered recently. Unfortunately, both of these two means might cause color distortion. Through introducing the SFIM technique and combining with IHS transform, this paper proposes a new algorithm based on IHS transform and SFIM for the fusion of object and scene. It utilizes the SFIM technique to fuse the intensity under the IHS color space. Subjective quality evaluation and objective quality assessment data of comparative fusion experiment results show that the new algorithm not only can reduce the color distortion well and achieve better fusion result than the Poisson fusion scheme and the standard IHS transform fusion scheme in the application of object-scene fusion, but also performs fast and is more robust.
基于IHS变换和SFIM的目标与场景融合
物体与场景的融合在图像编辑领域,特别是在电影制作过程中起着重要的作用。泊松图像编辑技术在目标-场景融合中得到了广泛的应用,近年来又提出了一种基于IHS变换的新方法。不幸的是,这两种方法都可能导致颜色失真。通过引入SFIM技术,结合IHS变换,提出了一种基于IHS变换和SFIM的目标与场景融合算法。它利用SFIM技术在IHS色彩空间下融合亮度。主观质量评价和客观质量评价数据对比融合实验结果表明,新算法在目标-场景融合应用中不仅能较好地降低颜色失真,取得比泊松融合方案和标准IHS变换融合方案更好的融合效果,而且速度快,鲁棒性强。
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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