结合JND模型的图像拼接缝消除方法

doi:10.11999/JEIT170059

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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.

Key words： Image processiug Luminance difference Image seamline Just Noticeable Difference (JND) model Hue, Saturation, Value (HSV) color space

Received: 16 January 2017 Published: 14 June 2017

PACS:

TN911.73

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

Corresponding Authors: CHEN Yong E-mail: chenyong@cqupt.edu.cn

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Cite this article:

CHEN Yong,ZHAN Di. Image Seamline Removal Method Based on JND Model[J]. JEIT, 2017, 39(10): 2404-2412.

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http://jeit.ie.ac.cn/EN/10.11999/JEIT170059 OR http://jeit.ie.ac.cn/EN/Y2017/V39/I10/2404

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