IEEE Trans Image Process - Quaternion structural similarity: a new quality index for color images.

Tópicos

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Resumo

One of the most important issues for researchers developing image processing algorithms is image quality. Methodical quality evaluation, by showing images to several human observers, is slow, expensive, and highly subjective. On the other hand, a visual quality matrix (VQM) is a fast, cheap, and objective tool for evaluating image quality. Although most VQMs are good in predicting the quality of an image degraded by a single degradation, they poorly perform for a combination of two degradations. An example for such degradation is the color crosstalk (CTK) effect, which introduces blur with desaturation. CTK is expected to become a bigger issue in image quality as the industry moves toward smaller sensors. In this paper, we will develop a VQM that will be able to better evaluate the quality of an image degraded by a combined blur/desaturation degradation and perform as well as other VQMs on single degradations such as blur, compression, and noise. We show why standard scalar techniques are insufficient to measure a combined blur/desaturation degradation and explain why a vectorial approach is better suited. We introduce quaternion image processing (QIP), which is a true vectorial approach and has many uses in the fields of physics and engineering. Our new VQM is a vectorial expansion of structure similarity using QIP, which gave it its name-Quaternion Structural SIMilarity (QSSIM). We built a new database of a combined blur/desaturation degradation and conducted a quality survey with human subjects. An extensive comparison between QSSIM and other VQMs on several image quality databases-including our new database-shows the superiority of this new approach in predicting visual quality of color images.

Resumo Limpo

one import issu research develop imag process algorithm imag qualiti method qualiti evalu show imag sever human observ slow expens high subject hand visual qualiti matrix vqm fast cheap object tool evalu imag qualiti although vqms good predict qualiti imag degrad singl degrad poor perform combin two degrad exampl degrad color crosstalk ctk effect introduc blur desatur ctk expect becom bigger issu imag qualiti industri move toward smaller sensor paper will develop vqm will abl better evalu qualiti imag degrad combin blurdesatur degrad perform well vqms singl degrad blur compress nois show standard scalar techniqu insuffici measur combin blurdesatur degrad explain vectori approach better suit introduc quaternion imag process qip true vectori approach mani use field physic engin new vqm vectori expans structur similar use qip gave namequaternion structur similar qssim built new databas combin blurdesatur degrad conduct qualiti survey human subject extens comparison qssim vqms sever imag qualiti databasesinclud new databaseshow superior new approach predict visual qualiti color imag

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