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Fast fractal image block coding based on local variances

IEEE TRANSACTIONS ON IMAGE PROCESSING 1998年第6期7卷 888-891页

作者： Lee, CK Lee, WK Hong Kong Polytech Dept Elect Engn Kowloon Hong Kong

In fractal image block coding, most of the time is spent on finding a close match between a range block and a large pool of domain blocks. For a large image, this effect becomes aggravated as the domain pool increases exponentially. Here, we propose using the local variances of domain blocks to reduce the search space. By sorting the contracted domain pool according to their loral variances and defining an acceptance criterion for a close match, we can confine all the potential close matches to a relatively small sized window to limit the search space, The encoding time can hence be shortened with the decoded image quality as good as that using the full search method. The speedup can be over ten times depending on thr complexity of encoded images.

关键词： fractal coding image coding matching method

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The fractal method of the image coding

The fractal method of the image coding

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IEEE International Siberian Conference on Control and Communications

作者： Melnikov, Grigory N. Tomsk VV Kuibyshev State Univ Tomsk 634050 Russia

Method of acceleration of the image fractal coding is offered. Advantage of fractal scaling is shown in comparison with interpolation methods.

ISBN: (纸本)9781424403462

Method of acceleration of the image fractal coding is offered. Advantage of fractal scaling is shown in comparison with interpolation methods.

关键词： image processing fractal coding Iterated Function System

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Image coding using wavelet-based fractal approximation

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IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS 2002年第10期E85D卷 1723-1726页

作者： Kim, SH Jang, IH Kim, NC Youngsan Univ Dept Multimedia Engn Yangsan 626847 South Korea Kyungwoon Univ Dept Elect Engn Kumi 730850 South Korea Kyungpook Natl Univ Dept Elect Engn Lab Visual Commun Taegu 702701 South Korea

We present an efficient scheme for progressive fractal coding in a wavelet multiresolution pyramid. In our proposed scheme, range blocks are selectively coded, based on energy localization in wavelet bands. In order to form domain pools with blocks yielding less distortion, domain blocks are also selectively searched in the wavelet bands of either the same or a different orientation from that of each range block at the next lower resolution. It is shown that the performance of the non-hybrid fractal coder presented is much better than that of predictive pyramid coding (PPC) [1].

关键词： fractal coding multiresolution pyramid wavelet band

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Inter-subband correlation for predictive pyramid coding

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JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 2001年第5期17卷 779-786页

作者： Kuo, CJ Lee, CL Natl Chung Cheng Univ Grad Inst Commun Engn Signal & Media SAM Lab Chiayi 621 Taiwan

Recently, fractal and subband coding were combined to achieve good picture quality at very low bit rates, and the technique was named predictive pyramid coding (PPC) [5]. In this paper, we improve PPC performance by utilizing the inter-subband correlation between different groups of subbands. As a result, we can reduce the bit rate by 0.011-0.043 bpp without degrading the coded picture quality, or we can increase the coded picture quality by 0.29-0.63 dB without increasing the bit rate.

关键词： fractal coding subband coding predictive pyramid coding prediction quadrature mirror filter

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Localized Video coding

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JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY 2019年第6期91卷 641-649页

作者： Chen, Junyou Cao, Xiaoran Wan, Dadong Wan, Liqiang Ni, Benben Yu, Quanhe Zheng, Jianhua He, Yun Tsinghua Univ Tsinghua Natl Lab Informat Sci & Technol Dept Elect Engn Beijing Peoples R China HiSilicon Technol Co Ltd Shenzhen Peoples R China

This paper describes a novel scheme of video coding structure called Localized Video coding (LVC) infra structure. Unlike the existing video coding standards, LVC is a video coding structure that is parallel-friendly. LVC will divide a video sequence into several sub-sequences and process them independently. LVC is a nontraditional way to parallelize video coding process, aimed at solving the existing problems of heat dissipation in chips. Every sub-sequence can be coded or decoded in a different processing unit and LVC can control a processing unit to sleep or work. Hence we can easily transfer the tasks from an overheated processing unit to a normal one. In this paper we will illustrate the LVC structure and show the results. Then we will provide an example of an improved method that shows a massive reduction in the processing time of a whole video sequence as well an encouraging video coding performance compared with the HEVC Tiles[1].

关键词： Localized video coding LVC Parallelization Heat dissipation fractal coding

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Linear prediction image coding using iterated function systems

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IMAGE AND VISION COMPUTING 1999年第10期17卷 771-776页

作者： Nappi, M Vitulano, D Univ Salerno Dipartimento Informat & Applicaz RM Capocelli I-84081 Baronissi SA Italy CNR IAC Ist Applicaz Calcolo M Picone Rome Italy

This paper presents a hybrid system to speed up image fractal encoding. The coding scheme, LP-IFS, consists of linear prediction (LP) and Iterated Functions Systems (IFS) applied in cascade on the image. The LP process employs a 2D auto-regressive model to estimate parameters for each block in the image partition;IFS are then used instead of adaptive quantizers to encode linear prediction errors. The stability of the resulting coding scheme is assured, since both LP and IFS are stable systems. The experiments performed have shown that LP-IFS can achieve very low bit-rates (BR) with good subjective and objective quality. Moreover, comparative studies based on extensive computer simulations have demonstrated that LP-IFS can rival standard IFS-based techniques in terms of BR and peak signal-to-noise ratio for high compression ratio and with respect to computing time. (C) 1999 Elsevier Science B.V. All rights reserved.

关键词： image coding linear prediction fractal coding

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Optimization of image coding algorithms and architectures using genetic algorithms

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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 1996年第5期43卷 549-558页

作者： Bull, DR Redmill, DW Communications Group Center for Communications Research University of Bristol Bristol UK

This paper addresses the application of genetic algorithm (GA)-based optimization techniques to problems in image and video coding, demonstrating the success of GA's when used to solve real design problems with both performance and implementation constraints, Issues considered include problem representation, problem complexity, and fitness evaluation methods, For off-line problems, such as the design of two-dimensional filters and filter banks, GA's are shown to be capable of producing results superior to conventional approaches, In the case of problems with real-time constraints, such as motion estimation, fractal search, and vector quantization codebook design, GA's can provide solutions superior to those reported using conventional techniques with comparable implementation complexity, The use of GA's to jointly optimize algorithm performance in the context of a selected implementation strategy is emphasized throughout and several design examples are included.

关键词： image coding video coding genetic algorithms digital filters motion estimation fractal coding vector quantization

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Research and Progress of Image Compression coding Based on Wavelet

Research and Progress of Image Compression Coding Based on W...

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7th International Conference on MEMS, NANO and Smart Systems (ICMENS 2011)

作者： Cui Yue-li Chen Zhi-gang Chen Ai-hua Taizhou Univ Coll Phys & Elect Engn Taizhou Peoples R China

ISBN: (纸本)9783037853122

Image compression is a technology using as little as possible bits to represent the original image. As wavelet transform has local characteristics on the time and frequency domain, it makes up the deficiency of DCT. Moreover, its multi-resolution characteristics can easily associate with the human visual system (HVS). Besides, wavelet-based image compression is prone to combine with new image coding methods. It has become the research hotspots at present. This paper introduces wavelets theory and discusses the research status and progress of wavelet-based image compression then points out the main problems. Finally, the prospect in the future was presented.

关键词： Image compression Wavelet transform Wavelet base fractal coding

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TIFS: a hybrid scheme integrating partitioned iterated function system and linear transforms

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IET IMAGE PROCESSING 2007年第4期1卷 363-372页

作者： Nappi, M. Riccio, D. Ricciardi, S. Univ Salerno Dipartimento Matemat & Informat I-84084 Fisciano SA Italy

Since its introduction, fractal theory has been exploited in many research topics such as image processing, pattern recognition and image coding, because of the intrinsic properties which make fractals highly suited to tasks such as segmentation, feature extraction and indexing, just to name a few. Unfortunately, they are based on a strong asymmetric scheme, consequently suffering from very high coding times. On the other hand, linear transforms are quite time balanced, allowing them to be usefully exploited in real-time applications, but they do not provide comparable performance with respect to the image quality for high bit-rates. Here, different levels of embedding linear transforms in the fractal coding scheme are investigated. Experimental results have been organised to point out the contribution of each embedding step to the objective quality of the decoded image.

关键词： Computer vision and image processing techniques pattern recognition Integral transforms in numerical analysis Image and video coding image coding partitioned iterated function system iterative methods transforms feature extraction linear transforms fractal coding fractal image compression Interpolation and function approximation (numerical analysis) data compression TIFS image segmentation fractals

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Object-based stereo video compression using fractals and shape-adaptive DCT

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AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS 2014年第7期68卷 687-697页

作者： Belloulata, Kamel Belalia, Amina Zhu, Shiping Univ Djillali Liabes Sidi Bel Abbes Fac Engn Dept Elect Sidi Bel Abbes Algeria BeiHang Univ Sch Instrumentat Sci & Optoelect Engn Dept Measurement Control & Informat Technol Beijing 100083 Peoples R China

Based on the classical fractal video compression method, an improved object-based stereo video compression scheme with Shape-Adaptive DCT is proposed in this paper. Firstly, we use more effective macroblock partition scheme instead of classical quadtree partition scheme;thus reducing the block searching strategy. The stereo fractal video coding is proposed which matches the macroblock with two reference frames in left and right view results in increasing compression ratio and reducing bit rate when transmitting compressed stereo data. The stereo codec combines the Motion Compensation Prediction (MCP) and Disparity Compensation Prediction (DCP). fractal coding is adopted and each object is encoded independently by a prior video segmentation alpha plane, which is defined exactly as in MPEG-4. The testing results with the nature monocular and stereo video sequences provide promising performances at low bit rate coding. We believe it will be a powerful and efficient technique for the object-based monocular and stereo video sequences coding. (C) 2014 Elsevier GmbH. All rights reserved.

关键词： Stereo video coding fractal coding Region-based coding SA-DCT MPEG-4

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