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Wu Dong, Hongxia Bie, Likun Lu and Yeli Li
Currently, screen content images (SCIs) are widely used in our modern society. However, since SCIs have distinctly different properties compared to natural images, traditional quality assessment methods of natural images cannot precisely evaluate the qua...
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Hwai-Tsu Hu, Ying-Hsiang Lu
Pág. 18 - 32
This paper presents a lifting wavelet transform (LWT)-based blind audio watermarking scheme designed for tampering detection and self-recovery. Following 3-level LWT decomposition of a host audio, the coefficients in selected subbands are first partition...
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Yiling Tang, Shunliang Jiang, Shaoping Xu, Tingyun Liu and Chongxi Li
To improve the evaluation accuracy of the distorted images with various distortion types, an effective blind image quality assessment (BIQA) algorithm based on the multi-window method and the HSV color space is proposed in this paper. We generate multipl...
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