结合JND模型的图像拼接缝消除方法

陈勇; 詹帝

doi:10.11999/JEIT170059

结合JND模型的图像拼接缝消除方法

doi: 10.11999/JEIT170059

陈勇¹,
詹帝¹

基金项目:

国家自然科学基金(60975008)，重庆市教委科学技术研究项目(KJ1400434)

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- 被引次数: 0
出版历程
- 收稿日期: 2017-01-16
- 修回日期: 2017-04-17
- 刊出日期: 2017-10-19

Image Seamline Removal Method Based on JND Model

CHEN Yong¹,
ZHAN Di¹

Funds:

The National Natural Science Foundation of China (60975008), The Science and Technology Research Project of Chongqing Education Committee (KJ1400434)

摘要

摘要: 该文针对待拼接图像间的亮度差异而导致拼接图像存在拼接缝的问题，提出一种基于JND(Just Noticeable Difference)模型的新的亮度拼接缝去除方法。该图像拼接缝优化算法分为3个步骤。将待优化图像变换到HSV空间，并提取V分量；在V分量图中自适应确定过渡区域宽度，根据JND模型计算区域内各点的优化阈值确定优化量大小并进行优化；将优化后的V分量与分离的H，S分量结合进行逆变换即可得到最终优化的拼接图像。实验结果表明，该算法能够实现图像亮度的平滑过渡，在亮度差较大的情况下也能得到较好结果。同时，该算法能够有效地避免常用基于RGB空间的拼接缝去除方法所带来的偏色问题，具有更大的适用范围。
- 图像处理 /
- 亮度差 /
- 图像拼接缝 /
- JND模型 /
- HSV空间
Abstract: An efficient approach based on Just Noticeable Difference (JND) model is proposed to solve the seamline problem caused by illuminate difference. The seamline optimization method operates via a three-stage approach. In the first stage, the image is transformed into Hue, Saturation, Value (HSV) color space, the V weight is selected for the follow-up stage, and the width of correct region is conformed self-adaptively. The second stage is using JND model to calculate the optimize V weight. Last stage is transforming HSV into RGB to get final optimized image. Extensive experimental results using natural images indicate that the proposed method can remove the seamline efficiently. The effect of seamline removal is better even the brightness difference is great. Meanwhile, the proposed method can avoid the color cast problem caused by RGB color space.
- Image processiug /
- Luminance difference /
- Image seamline /
- Just Noticeable Difference (JND) model /
- Hue, Saturation, Value (HSV) color space

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