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检索条件"主题词=transform coding"

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Multiple description video coding based on Lagrangian rate allocation and JPEG2000

Multiple description video coding based on Lagrangian rate a...

引用

Iranian Machine Vision and Image Processing (MVIP)

作者： Zohre Foroushi Majid R. Ardestani Ali Asghare Beheshti Shirazi Iran University of Science and Technology Iran

Multiple description coding is a technique where all the transmitted segments of data, or descriptions, can be independently decoded. In this paper, a multiple description coding technique for videos is proposed, based on optimal Lagrangian rate allocation. in "T+2D" wavelet video coding, first, motion compensated temporal filtering (MCTF) is performed along the temporal direction to efficiently de-correlate frames within a GOP. Then, all low-pass filtered frames are encoded using JPEG2000 coder. All code blocks are coded at two different rates. Then blocks are split into three subsets with similar rate distortion characteristics; three balanced descriptions are generated by combining code blocks belonging to the three subsets encoded at opposite rates. A theoretical analysis is carried out, and the optimal rate distortion conditions are worked out. Simulation results show a noticeable performance improvement with respect to Akyol algorithm.

关键词： transform coding Streaming media Video coding Image coding Filtering Rate-distortion Equations

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Computationally-scalàble motion estimation algorithm for H.264/AVC video coding

Computationally-scalàble motion estimation algorithm for H....

引用

IEEE International Conference on Consumer Electronics (ICCE)

作者： Man-Yau Chiu Wan-Chi Siu Department of Electronic and Information Engineering Hong Kong Polytechnic University Hong Kong China

ISBN: (纸本)9781424443147

This paper presents a computationally-scalable motion estimation algorithm in which the number of operations required to code a video frame can be dynamically controlled. Unlike fast lossy search algorithms, the proposed algorithm can adaptively adjust its search strategy according to the imposed computational constraint and this algorithm can be used by consumer devices to realize real-time computational budget control for video compression.

关键词： Motion estimation Automatic voltage control Video coding Video compression Motion control transform coding Consumer products Heuristic algorithms Concurrent computing Scalability

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Performance Comparison Between AVC I-Frame coding and JPEG2000

Performance Comparison Between AVC I-Frame Coding and JPEG20...

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International Conference on Computer Modeling and Simulation, ICCMS

作者： Runhai Jiao Computer Department North China Electric Power University Beijing China

JPEG2000 is the international image coding standard. AVC/H.264 is the latest video coding standard and its I-Frame coding can also be used for image coding. In this paper we compare the coding performance of JPEG2000 and AVC I-Frame coding. First, we discuss the basic techniques of their coding schemes and encoder parameter settings. Second, compressions are performed on images with different resolution and texture complexity. Finally we discuss the experimental results. In this study, we have not considered computation complexity and scalability, as well as other JPEG2000 features.

关键词： Automatic voltage control Image coding transform coding Image resolution Wavelet coefficients Video compression Discrete cosine transforms Testing Entropy coding Arithmetic

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A new approach for distributed image coding in wireless sensor networks

A new approach for distributed image coding in wireless sens...

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IEEE Symposium on Computers and Communications (ISCC)

作者： Mohamadreza Jamali Saadan Zokaei Hamid R. Rabiee Department of Electrical Engineering K.N. Toosi University of Technology Tehran Iran AICTC Research Center Department of Computer Engineering Sharif University of Technology Tehran Iran

Power and bandwidth constraints are two major challenges in wireless sensor networks. Since a considerable amount of energy in sensor networks is consumed for data transmission, compression techniques may prolong the life of such networks. Moreover, with fewer bits to transmit, the network can cope better with the problem of inadequate bandwidth. In this paper, we consider an image sensor network and propose a paradigm based on the principles of Distributed Source coding (DSC) for efficient compression. Our method relies on high correlation between the sensor nodes. The algorithm consists of two phases: the Training Phase and the Main Phase. In the Training Phase an aggregation node or a cluster head determines the correlation of the sources, and in the Main Phase the image is coded based on the computed correlations. We compare our method with JPEG and show its superiority in terms of compression ratio as the correlation increases.

关键词： Image coding transform coding Source coding Wireless sensor networks Wireless communication Correlation Training

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Image coding by using structure / texture decomposition and an analysis of their relationship

Image coding by using structure / texture decomposition and ...

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IEEE Workshop on Signal Processing Systems (SIPS)

作者： Chihiro Suzuki Takamichi Miyata Yoshinori Sakai Tokyo Institute of Technology Japan

Total variation regularization can be used to decompose any natural image into a structure image (edges and smooth areas) and a texture image (texture only). Although structure images can be highly compressed by conventional JPEG methods, texture images require a lot of bits to represent their feature details. Texture images are composed from several repeated patterns, each of which can be synthesized from small texture patches, and we propose a novel image compression method for these images. First, we extract several texture patches from an original texture image. Next, we compress the texture distribution map to a small number of representative points corresponding with each texture patch. The texture image is then synthesized from the texture distribution map and texture patches at the decoder. Experimental results show that the decoded image obtained by our proposed method is subjectively similar to the original one compared with the decoded image by the conventional JPEG.

关键词： Pixel Image coding transform coding Decoding Image color analysis Image edge detection Image restoration

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Low complexity multi-view distributed video coding based on JPEG

Low complexity multi-view distributed video coding based on ...

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IEEE Southwest Symposium on Image Analysis and Interpretation

作者： Ivan Mecimore Charles D. Creusere Klipsch School of Electrical and Computer Engineering New Mexico State University Las Cruces NM USA

ISBN: (纸本)9781424478019

We consider here a low-complexity approach to the problem of multi-view distributed video coding. Specifically, we assume that motion-JPEG is used as the base coding algorithm and analyze the effects of factors such as additive noise and region misalignment on the conditional coding problem. Our goal is to characterize the achievable compression gain for a practical coding scenario where block-wise frame correlations must be estimated on-the-fly at the encoder in a highly efficient manner. We show that additive noise has a greater impact on the performance of a distributed video coder than pixel domain shifts.

关键词： Video coding Decoding Image coding Discrete cosine transforms Video compression transform coding Additive noise Wireless sensor networks Computational complexity Base stations

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Directional lifting wavelet and universal trellis coded quantization based image coding algorithm and objective quality evaluation

Directional lifting wavelet and universal trellis coded quan...

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IEEE International Conference on Image Processing

作者： Xingsong Hou Guifeng Jiang Rongjing Ji Chenglong Shi School of Electronics and Information Engineering Xi'an Jiaotong University Xi'an China Xi'an Institute of Electronics Engineering Xi'an China

In this paper, an image coding algorithm based on directional lifting wavelet transform (DLWT) and universal trellis coded quantization (UTCQ) is presented, and the coding performance is evaluated with multi-scale structural similarity index (MSSIM) and peak signal-to-noise ratio (PSNR). Compared with discrete wavelet transform (DWT), DLWT can provide an efficient representation of edges, but shows a similar ability in representing the smooth area. In order to alleviate blurring artifacts in the smooth area, UTCQ is adopted to quantizing the wavelet coefficients. Experimental results show that the proposed algorithm has the best MSSIM performance among the compared algorithms (including JPEG2000), and its decoded images at low bit-rate are visually more appealing in both edges and smooth areas. The experimental results also show that UTCQ does perform better than scalar quantization (SQ) in MSSIM and improves the subjective visual quality, although it is not necessary better than SQ in PSNR.

关键词： Image coding PSNR transform coding Encoding Discrete wavelet transforms

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Error concealment for MVC and 3D video coding

Error concealment for MVC and 3D video coding

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Picture coding Symposium, PCS

作者： Olgierd Stankiewicz Krzysztof Wegner Marek Domański Chair of Multimedia Telecommunications and Microelectronics Poznań University of Technology Poland

In this paper we propose a novel approach to error concealment that can be applied to MVC and other 3D video coding technologies. The image content, that is lost due to errors, is recovered with use of multiple error-concealment techniques. In our work we have used three techniques: well-known temporal- and intra-based techniques and a novel inter-view technique. Proposed inter-view recovery employs Depth Image Based Rendering (DIBR), which requires neighboring views and corresponding depth maps. Those depth maps can be delivered in the bit-stream or estimated in the receiver. In order to obtain the final reconstruction, the best technique is selected locally. For that, an original recovery quality measurement method, based on cross-checking, has been proposed. The idea has been implemented and assessed experimentally, with use of 3D video test sequences. The objective and subjective results show that the proposed approach provide good quality of reconstructed video.

关键词： Image reconstruction Pixel Three dimensional displays transform coding Video coding IEC ISO

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Bidimensional Empirical Mode Decomposition for multiresolution image coding

Bidimensional Empirical Mode Decomposition for multiresoluti...

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IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA)

作者： C. Guaragnella A. Manni F. Palumbo T. Politi Politecnico di Bari Bari Puglia IT DMP-Mathematics Department Politecnico di bari Italy

Bidimensional Empirical Mode Decomposition (BEMD) provides a tool for image processing for its special ability to locally separate spatial frequencies. The Intrinsic Mode Functions (IMFs) other than the first are images of lower frequency components. The coding method presented in this paper uses the BEMD process to create two sub-band images from the original image: hi and low frequency. These images are differently subsampled and compressed by JPEG standard with different quality factor and then sent to a feedback system to compensate the quality loss in the compression process. The proposed paper proposes a technique to enhance jpeg encoding of images. Reconstructed images produce increased visual appearance of correspondent jpeg coded ones at same compression rate.

关键词： Image coding PSNR transform coding Bit rate Image resolution Signal resolution Pixel

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Comparison between H.264/AVC and Motion jpeg2000 for super-high definition video coding

Comparison between H.264/AVC and Motion jpeg2000 for super-h...

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IEEE International Conference on Image Processing

作者： Chenwei Deng Weisi Lin Bu-sung Lee Chiew Tong Lau Manoranjan Paul School of Computer Engineering Nanyang Technological University Singapore

H.264/AVC FRExt (Fidelity Range Extensions) and Motion JPEG2000 are the latest inter-frame and intra-frame video coding standards, respectively. It is well known that an inter-frame method achieves higher coding efficiency compared with an intra-frame one, and the Motion JPEG2000 has been selected for digital cinema compression. In this paper, we attempt to compare these two different schemes with theoretical and experimental analysis for super-HD (high definition) visual signals. One additional contribution of the paper is that the impact of block partition, motion search range and skipped block size for inter-frame coding is discussed. Based on the analysis, we extend the standard H.264/AVC FRExt by using larger block size and search range. The experimental results show that this extension leads to higher coding efficiency and makes the H.264/AVC FRExt more suitable for super-HD video coding.

关键词： Automatic voltage control transform coding Encoding Motion pictures Video coding Strontium Visualization

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