Abstract
A method which reveals the visual masking in the human visual system (HVS) is useful in perceptual data coding. In this paper, we propose a color DCT-based method to esti-mate color spatio-temporal just noticeable distortion (JND) for video coding. The spatio-temporal JND profiles are assessed by incorporating a new temporal masking adjust-ment into the mathematical model of estimating the DCT-based spatial JND profiles for luminance component and chrominance components of color images. In this paper, the new block-based temporal masking adjustment mainly con-sidering the variation of local temporal statistics in lumi-nance component between successive video frames is pro-posed. The spatio-temporal JND profiles are used to tune the H.264 video codec for higher performance. The simula-tion results demonstrate the performance of the perceptual video coding in terms of bit rates and visual quality. The bit rates required by the perceptually tuned video codec are lower than that required by the un-tuned video codec at nearly the same visual quality.
Highlights
In order to achieve higher performance of compressing the image, the estimation of approaching actual just noticeable distortion (JND) of images is always an important topic and utilized into the perceptual coding schemes while considering that human eyes are the ultimate receiver of the visual data
By utilizing on the base detection threshold for each DCT coefficient in luminance and chrominance components of color images, the proposed model uses the masking adjustment presented in our prior work [14] to compute the spatial JND profiles of three color compo
A new block-based temporal masking adjustment mainly considering the variation of local temporal statistics in luminance component between successive video frames is proposed to extend the above spatial JND profiles for assessing the color spatio-temporal JND profiles
Summary
In order to achieve higher performance of compressing the image, the estimation of approaching actual JND of images is always an important topic and utilized into the perceptual coding schemes while considering that human eyes are the ultimate receiver of the visual data. By utilizing on the base detection threshold for each DCT coefficient in luminance and chrominance components of color images, the proposed model uses the masking adjustment presented in our prior work [14] to compute the spatial JND profiles of three color compo-. A new block-based temporal masking adjustment mainly considering the variation of local temporal statistics in luminance component between successive video frames is proposed to extend the above spatial JND profiles for assessing the color spatio-temporal JND profiles. The estimated spatio-temporal JND profiles are used to preprocess the motion-compensated residue in video coding
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