Image Seamline Removal Method Based on JND Model

CHEN Yong; ZHAN Di

doi:10.11999/JEIT170059

Volume 39 Issue 10

Oct. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(10): 2404-2412

CHEN Yong, ZHAN Di. Image Seamline Removal Method Based on JND Model[J]. Journal of Electronics & Information Technology, 2017, 39(10): 2404-2412. doi: 10.11999/JEIT170059

Citation:

CHEN Yong, ZHAN Di. Image Seamline Removal Method Based on JND Model[J]. Journal of Electronics & Information Technology, 2017, 39(10): 2404-2412. doi: 10.11999/JEIT170059

CHEN Yong, ZHAN Di. Image Seamline Removal Method Based on JND Model[J]. Journal of Electronics & Information Technology, 2017, 39(10): 2404-2412. doi: 10.11999/JEIT170059

Citation:

CHEN Yong, ZHAN Di. Image Seamline Removal Method Based on JND Model[J]. Journal of Electronics & Information Technology, 2017, 39(10): 2404-2412. doi: 10.11999/JEIT170059

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Image Seamline Removal Method Based on JND Model

doi: 10.11999/JEIT170059

CHEN Yong¹,
ZHAN Di¹

Funds:

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

Received Date: 2017-01-16
Rev Recd Date: 2017-04-17
Publish Date: 2017-10-19

Abstract

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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References(32)

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