Abstract
Because perceptual video coding (PVC) can reduce bitrates with negligible visual quality loss in video compression, a PVC scheme based on just noticeable distortion (JND) model is proposed for ultra-high definition video. Firstly, the proposed JND model is designed, considering the spatial JND characteristics such as contrast sensitivity, luminance adaptation and saliency weight factor. Secondly, in order to perform precise JND suppression, the Gauss differential entropy (GDE) filter is designed to divide the image into smooth and complex texture region. Thirdly, through incorporating the proposed JND model into the encoding process, the transform coefficients are suppressed in harmonization with the transform/quantization process of high efficiency video coding (HEVC). In order to achieve the JND suppression effectively, a distortion compensation factor and distortion compensation control factor are incorporated to control the extent of distortion in the rate distortion optimization process. The experimental results show that the proposed PVC scheme can achieve a remarkable bitrate reduction of 32.98% for low delay (LD) configuration and 28.61% for random access (RA) configuration with a negligible subjective quality loss. Meanwhile, the proposed method only causes about average 12.94% and 22.45% encoding time increase under LD and RA configuration compared with an HEVC reference software, respectively.
Highlights
Ultra-high definition (UHD) video provides viewers with enhanced visual experience via a wider field of view (FOV) and more exquisite frames than high definition (HD) video [1]
To verify the effectiveness of the proposed JGDE-S model for 4K UHD video/image, 4. the Experimental subjective viewing tests are conducted based on double-stimulus continuous quality-scale (DSCQS)
To better reflect the UHD image/video perception characteristics of human visual system (HVS), a simple JGDE-S model is proposed by appropriately subjective experiments
Summary
Ultra-high definition (UHD) video provides viewers with enhanced visual experience via a wider field of view (FOV) and more exquisite frames than high definition (HD) video [1]. They proposed an elaborate JND model for variable block-sized transforms in a monochrome image [19] They incorporated foveated masking effects into a DCT-based total JND profile in [20]. Kim et al proposed an HEVC-compliant PVC scheme based on JND models for variable block-sized transform kernels [21] They proposed a compensation factor to tackle the distortions caused by transform coefficients suppression with JND profile. A perceptually HEVC-complaint PVC scheme based on the proposed JND model is proposed for improving the encoding efficiency of UHD videos with 10-bit depth. The main contributions of the work are as follows: Because the conventional JND models are inappropriate for perceptual distortions of UHD videos with 10-bit depth, an LM effect is proposed.
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