A JND Model Using a Texture-Edge Selector Based on Faber-Schauder Wavelet Lifting Scheme

被引：4

作者：

Amar, Meina ^{[1
,2
]}

Harba, Rachid ^{[2
]}

Douzi, Hassan ^{[1
]}

Ros, Frederic ^{[2
]}

El Hajji, Mohamed ^{[1
]}

Riad, Rabia ^{[1
,2
]}

Gourrame, Khadija ^{[1
]}

机构：

[1] Ibn Zohr Univ, IRF SIC Lab, BP 8106, Cit Dakhla 80000, Agadir, Morocco

[2] Univ Orlans, PRISME Lab, 12 Rue Blois, F-45067 Orleans, France

来源：

IMAGE AND SIGNAL PROCESSING (ICISP 2016) | 2016年 / 9680卷

关键词：

Perceptual models; Human Visual System; Digital watermarking; Wavelet; Lifting schemes; JND;

D O I：

10.1007/978-3-319-33618-3_33

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Modeling the human visual system has become an important issue in image processing such as compression, evaluation of image quality and digital watermarking. In this paper we present a spatial JND (Just Noticeable-Difference-) model that uses a texture selector based on Faber-Schauder wavelets lifting scheme. This texture selector identify non-uniform and uniform areas. That allows to choose between JNDs models developed by Chou and Qi. The chosen JND will determine the value of the embedding strength in each pixel, related to the identified region. Results show that by this process, we can generally ameliorate the visual quality with the same robustness.

引用

页码：328 / 336

页数：9

共 33 条

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