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As the annoying blocking or ghost artifacts tend to appear in the conventional compression approaches either in the JPEG or JPEG2000 standards at low bitrate, the concept of the object-oriented image compression is proposed. This kind of methods is able to retain the image structural boundaries and therefore has relatively good visual qualities even in high compression ratios. In this paper, we propose...
This paper proposes a filtering approach based on global motion estimation (GME) and global motion compensation (GMC) as pre-processing and post-processing for video CODEC. For the pre-processing of video CODEC, group-of-pictures (GOP), i.e., basic unit for GMC and reference frames are first defined for an input video sequence. Next, GME and GMC are sequentially performed for every frame in each GOP...
With the development of Ultra-High-Definition video, the power consumed by accessing reference frames in the external DRAM has become the bottleneck for the portable video encoding system design. To reduce the dynamic power of DRAM, a lossy frame memory recompression algorithm is proposed. The compression algorithm is composed of a content-aware adaptive quantization, a multi-mode directional prediction,...
3D image/video applications attract lots of attention these days. Due to increased data amount compared to 2D image/video, many researches try to well compress 3D data by removing the inter-view redundancy between different views. In general, only interpixel redundancy is exploited, not psychovisual redundancy. Currently, binocular just noticeable difference (BJND) model is proposed to measure the...
A novel perceptual multiple description coding with randomly offset quantizers (PMDROQ) is proposed. In the proposed PMDROQ method, the input image is partitioned into M subsets, and then obtaining M descriptions. In each description, one subset is directly encoded and decoded with different-small perceptual quantization stepsizes in DCT domain, while other subsets are predictively coded and decoded...
This paper presents an acceleration method of the bilateral filter (BF) for multi-channel images. In most existing acceleration methods, the BF is approximated by an appropriate combination of convolutions. A major purpose under this framework is to achieve sufficient approximate accuracy by as few convolutions as possible. However, state-of-the-art methods for multi-channel images still requires...
This paper presents an algorithm to improve feature preservation in High Efficiency Video Coding Standard (HEVC). First, feature information (Keypoints) is extracted from each frame by using scale-invariant feature transform (SIFT) before encoding those frames. Then Largest Coding Units (LCUs) in each frame are categorized into two groups such as important LCUs group and non-important LCUs group based...
This paper presents a new scalable coding (SC) algorithm considering the properties of human visual system (HVS), especially the importance of structures and saliencies for visual perception. The proposed method first finds the salient regions in an image and then applies structure preserving filter to the regions excluding the saliencies. This image is encoded with a pre-specified quantization parameter...
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