基于梯度域的图像混合方法的比较研究

Maturi Tanuj, Aishwarya Virigineni, Apoorva Mani, R. Subramani
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引用次数: 3

摘要

本文描述了用于图像混合的三种不同方法的比较研究。本文将重点讨论在梯度域内对单源图像和目标图像进行组合的方法。本研究的主要目的是描述在图像混合中考虑梯度的重要性,以及为什么它使混合更加逼真和有效。所有正在考虑的方法的研究已经使用MATLAB执行。这三种方法分别是朴素混合、泊松混合和混合梯度混合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative Study of Gradient Domain Based Image Blending Approaches
The paper describes a comparative study of three different approaches that are used for image blending. The main focus will remain on the approaches where single source image and target is composed in the gradient domain. The main aim of the study is to portray the importance of considering gradients in image blending and why it makes the blending more realistic and effective. The study of all the approaches that are taken under consideration have been executed using MATLAB. The three different approaches are Naive blending, poisson image blending and Mixed gradient approach of image blending.
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