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Piecewise-linear subband coding scheme for fast image decomposition

MULTIMEDIA TOOLS AND APPLICATIONS 2016年第17期75卷 10649-10666页

作者： Slusarczyk, Przemyslaw Baran, Remigiusz Jan Kochanowski Univ Inst Phys Dept Comp Sci Swietokrzyska 15 PL-25406 Kielce Poland Kielce Univ Technol Fac Elect Engn Automat & Comp Sci Al 1000 Lecia PP 7 PL-25314 Kielce Poland

Transform coding methods play a very important role in the development of diverse multimedia technologies. The discrete cosine and wavelet transforms are frequently used in the field of image processing and set up a basis for contemporary image compression standards (JPEG, MPEG). In this paper a novel two-channel piecewise-linear subband coding scheme (PL-SBC) is introduced. Its most important advantage are exceptionally fast and easy for implementation computational algorithms combined with good reconstruction quality. The proposed PLSBC system is based on the dual filter bank consisting of a single filter at the decomposition stage and a single one at the reconstruction stage. For the presented PL-SBC scheme, the conditions of perfect reconstruction and the piecewise-linear approximation filter bank have been defined. The compression properties of a new subband coding scheme have been analysed for different categories of images and in comparison with well-known signal transforms, such as cosine, piecewise-linear, piecewise-constant and wavelet transforms. The research includes a comparison of the reconstruction error both in objective as well as subjective approach.

关键词： subband image coding Piecewise-linear approximation Linear transforms image compression

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Graph-cut rate distortion algorithm for contourlet-based image compression

Graph-cut rate distortion algorithm for contourlet-based ima...

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IEEE International Conference on image Processing (ICIP 2007)

作者： Trocan, M. Pesquet-Popescu, B. Fowler, J. E. GET Telecom Paris Signal & Image Proc Dept 46 Rue Barrault F-75634 Paris France Mississippi State Univ Dept Elect & Comp Engn Mississippi State MS 39762 USA

ISBN: (纸本)9781424414369

The geometric features of images, such as edges, are difficult to represent. When a redundant transform is used for their extraction, the compression challenge is even more difficult. In this paper we present a new rate-distortion optimization algorithm based on graph theory that can encode efficiently the coefficients of a critically sampled, non-orthogonal or even redundant transform, like the contourlet decomposition. The basic idea is to construct a specialized graph such that its minimum cut minimizes the energy functional. We propose to apply this technique for rate-distortion Lagrangian optimization in subband image coding. The method yields good compression results compared to the state-of-art JPEG2000 codec, as well as a general improvement in visual quality.

关键词： subband image coding rate -distortion allocation

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Modified M-band synthesis filter bank for fractional scalability of images

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IEEE SIGNAL PROCESSING LETTERS 2006年第6期13卷 345-348页

作者： Pau, Gregoire Pesquet-Popescu, Beatrice Piella, Gemma Telecom Paris Dept Signal & Image Proc F-75014 Paris France

subband image coding with classical wavelet transforms inherently provides dyadic scalability since the low-pass approximation band can be used as a half-sized version of the original image. The multiresolution approach further provides scalability factors that are powers of two, but no other factors can be easily reached. On the other hand, a hierarchical scheme based on M-bandtransforms will lead only to scalability factors that are powers of M. In this letter, we present how an M-band synthesis filter bank can be modified in order to directly reconstruct an output image of a resolution reduced by a factor M/P, where P is an integer lower than M. As the analysis filter bank is not modified, this technique allows the design of subband decoding schemes that support fractional scalability. With this feature, the same compressed bitstream can be directly decoded by different receivers at several resolutions, depending on their computational and bandwith capabilities.

关键词： fractional scalability M-band transform rational factor resampling subband image coding wavelet transform

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An edge-preserving subband image coding scheme based on separate coding of region and residue sources

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IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 2001年第9期E84A卷 2247-2254页

作者： Wey, HC Kawamata, M Tohoku Univ Grad Sch Engn Sendai Miyagi 9808579 Japan

This paper presents a novel image coding scheme based on separate coding of region and residue sources. In a subband image coding scheme, quantization errors in each subimage spread over the reconstructed image and result in a blurring or a boundary artifact. To obtain high compression ratio without considerable degradation, an input image, in our scheme, is separated into region and residue sources which are coded using different coding schemes. The region source is coded by adaptive arithmetic coder. The residue source is coded using multiresolution subimages generated by applying a subband filter. Each block in the subimages is predicted by an affine transformation of blocks in lower resolution subimages. Experimental results show that a high coding efficiency is achieved using the proposed scheme, especially in terms of the subjective visual quality and PSNR at low bit-rate compression.

关键词： subband image coding separate coding region source residue source multiresolution subimages

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Generalized unequal length lapped orthogonal transform for subband image coding

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2000年第12期48卷 3365-3378页

作者： Nagai, T Ikehara, M Kaneko, M Kurematsu, A Osaka Electrocommun Univ Course Elect Engn Tokyo Japan Keio Univ Dept Elect & Elect Engn Yokohama Kanagawa 223 Japan

In this paper, generalized linear phase lapped orthogonal transforms with unequal length basis functions (GULLOTs) are considered. The length of each basis of the proposed GULLOT can be different from each other, whereas all the bases of the conventional GenLOT are of equal length. Tn general, for image coding application, the long basis for a low-frequency band and the short basis for a high-frequency one are desirable to reduce the blocking and the ringing artifact simultaneously. Therefore, the GULLOT is suitable especially for a subband image coding. In order to apply the GULLOT to a subband image coding, we also investigate the size-limited structure to process the finite length signal, which is important in practice. Finally, some design and image coding examples are shown to confirm the validity of the proposed GULLOT.

关键词： GenLOT subband image coding symmetric extension method unequal length basis functions

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A wavelet transform with point-symmetric extension at tile boundaries

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IEEE TRANSACTIONS ON image PROCESSING 2002年第12期11卷 1357-1364页

作者： Kharitonenko, I Zhang, X Twelves, S Motorola Australian Res Ctr Botany NSW 1455 Australia

This paper presents a low-complexity wavelet transform that utilizes point-symmetric extension at the image the boundaries. The proposed approach is considered as an alternative to the well-known symmetric signal extension in dealing with the boundary artifacts that manifest when tiles of images are lossy compressed. The new solution developed for odd-length filters preserves the perfect reconstruction property of the filter banks and deals efficiently with blocking artifacts without requiring any post processing technique or additional information from the neighboring tiles. It is shown that point-symmetric extension at the boundaries does not need to be applied explicitly, but instead the equivalent boundary filters can be derived. The lifting-based implementation of the filters provides a very simple way of changing filter parameters at the boundaries that suits both hardware and software platforms.

关键词： boundary extension image compression subband image coding wavelet transform

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Fast LOT with unequal length basis functions: Realization and application in subband image coding

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IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 1999年第5期E82A卷 825-834页

作者： Nagai, T Ikehara, M Univ Electrocommun Dept Elect Engn Chofu Tokyo 1828585 Japan Keio Univ Dept Elect Engn Yokohama Kanagawa 2238522 Japan

In this paper, the Lapped Orthogonal Transform (LOT) with unequal length basis function is considered. The proposed unequal length LOT (ULLOT) has both long basis of length 2M and short basis of length M, while the lengths of all bases of the conventional LOT are 2M. A new class of LOT can be constructed with some modifications of Malvar's Fast LOT. Therefore, the fast algorithm for the Discrete Cosine Transform (DCT) will surely facilitate the computation of the ULLOT. Although the computational complexity of the ULLOT is always lower than that of the LOT, there exist some cases where the coding gain of the ULLOT becomes slightly higher than that of the LOT. Its ability to reduce ringing artifacts is an attractive feature as well. The size-limited structure for the finite length signal is investigated and the ULLOTs are tested on image coding application. The simulation results confirm the validity of the proposed ULLOT.

关键词： lapped transform fast algorithm subband image coding

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On the influence of the phase of conjugate quadrature filters in subband image coding

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IEEE TRANSACTIONS ON image PROCESSING 1998年第6期7卷 883-888页

作者： Baskurt, A Benoit-Cattin, H Odet, C Inst Natl Sci Appl 502 CREATIS F-69621 Villeurbanne France

The influence of the phase of conjugate quadrature filters (CQF's) on the performances of a subband coding scheme is analyzed. When the filter length is short, the phase characteristic has virtually no influence on the peak signal-to-noise ratio (PSNR)/bit rate results and on the performance of postprocessing algorithms such as edge detection.

关键词： conjugate quadrature filters (CQF's) phase characteristic subband image coding

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Hybrid subband image coding scheme using DWT, DPCM, and ADPCM 7

Hybrid subband image coding scheme using DWT, DPCM, and ADPC...

引用

Visual Information Processing VII

作者： Oh, KS Kim, SJ Joo, CB Kyungnam Univ Dept Elect Engn Masan 631701 Kyungnam South Korea

ISBN: (纸本)0819428361

subband image coding techniques have received considerable attention as a powerful source coding ones. These techniques provide good compression results, and also can be extended for progressive transmission and multiresolution analysis. In this paper, we propose a hybrid subband image coding scheme using DWT (discrete wavelet transform), DPCM(differential pulse code modulation), and ADPCM(adaptive DPCM). This scheme produces both simple, but significant, image compression and transmission coding.

关键词： subband image coding DWT DPCM ADPCM statistically similar pixels

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Distortion-rate models for entropy-coded lattice vector quantization

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IEEE TRANSACTIONS ON image PROCESSING 2000年第12期9卷 2006-2017页

作者： Raffy, P Antonini, M Barlaud, M Identive Corp Palo Alto CA 94305 USA Univ Nice F-06903 Sophia Antipolis France

The increasing demand for real-time applications requires the use of variable-rate quantizers having good performance in the low bit rate domain. In order to minimize the complexity of quantization, as well as maintaining a reasonably high PSNR ratio, we propose to use an entropy-coded lattice vector quantizer (ECLVQ), These quantizers have proven to outperform the well-known EZW algorithm's performance in terms of rate-distortion tradeoff. In this paper, we focus our attention on the modeling of the mean squared error (mse) distortion and the prefix code rate for ECLVQ. First, we generalize the distortion model of Jeong and Gibson on fixed-rate cubic quantizers to lattices under a high rate assumption. Second, we derive new rate models for ECLVQ, efficient at low bit rates without any high rate assumptions, Simulation results prove the precision of our models.

关键词： distortion-rate theory entropy-coded LVQ high rate quantization theory lattice VQ low rate distortion and rate models prefix code rate subband image coding

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