IEEE Trans Image Process - Spread spectrum image watermarking based on perceptual quality metric.

Tópicos

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Resumo

Efficient image watermarking calls for full exploitation of the perceptual distortion constraint. Second-order statistics of visual stimuli are regarded as critical features for perception. This paper proposes a second-order statistics (SOS)-based image quality metric, which considers the texture masking effect and the contrast sensitivity in Karhunen-Lo?ve transform domain. Compared with the state-of-the-art metrics, the quality prediction by SOS better correlates with several subjectively rated image databases, in which the images are impaired by the typical coding and watermarking artifacts. With the explicit metric definition, spread spectrum watermarking is posed as an optimization problem: we search for a watermark to minimize the distortion of the watermarked image and to maximize the correlation between the watermark pattern and the spread spectrum carrier. The simple metric guarantees the optimal watermark a closed-form solution and a fast implementation. The experiments show that the proposed watermarking scheme can take full advantage of the distortion constraint and improve the robustness in return.

Resumo Limpo

effici imag watermark call full exploit perceptu distort constraint secondord statist visual stimuli regard critic featur percept paper propos secondord statist sosbas imag qualiti metric consid textur mask effect contrast sensit karhunenlov transform domain compar stateoftheart metric qualiti predict sos better correl sever subject rate imag databas imag impair typic code watermark artifact explicit metric definit spread spectrum watermark pose optim problem search watermark minim distort watermark imag maxim correl watermark pattern spread spectrum carrier simpl metric guarante optim watermark closedform solut fast implement experi show propos watermark scheme can take full advantag distort constraint improv robust return

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