This paper introduces a new multiresolution predictive scheme for lossless compression of medical images. The proposed scheme consists of three successive steps: namely, multiresolution decomposition, hierarchical int...
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This paper introduces a new multiresolution predictive scheme for lossless compression of medical images. The proposed scheme consists of three successive steps: namely, multiresolution decomposition, hierarchical interpolation and predictive coding using two-dimensional multiplicative autoregressive models. The performance of the proposed technique is compared with three alternative techniques: namely, difference pyramid (DP), reduced difference pyramid (RDP) and hierarchical interpolation (HINT) method. The experimental results indicate that the proposed scheme achieves significantly higher compression compared to the other techniques considered.< >
This paper presents a method for designing and optimizing predictive vector quantizers (PVQ) for coding the line spectral frequencies (LSF) in LPC-based speech and audio coders. The algorithm is based on iterative opt...
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This paper presents a method for designing and optimizing predictive vector quantizers (PVQ) for coding the line spectral frequencies (LSF) in LPC-based speech and audio coders. The algorithm is based on iterative optimization of the predictors and the vector-quantizer codebooks. It is shown that the proposed method yields high quality LSF predictive quantizers with performance exceeding that of the PVQ used in the G.729 standard.
In current interframe video compression systems, the encoder performs predictive coding to exploit the similarities of successive frames. The Wyner-Ziv theorem on source coding with side information available only at ...
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In current interframe video compression systems, the encoder performs predictive coding to exploit the similarities of successive frames. The Wyner-Ziv theorem on source coding with side information available only at the decoder suggests that an asymmetric video codec, where individual frames are encoded separately, but decoded conditionally (given temporally adjacent frames) achieves similar efficiency. We report results on a Wyner-Ziv coding scheme for motion video that uses intraframe encoding, but interframe decoding. In the proposed system, key frames are compressed by a conventional intraframe codec and in-between frames are encoded using a Wyner-Ziv intraframe coder. The decoder uses previously reconstructed frames to generate side information for interframe decoding of the Wyner-Ziv frames.
This paper presents a fast lossless image compression method for space and satellite images. The method, which we call HIREW, is based on hierarchical interpolating prediction and adaptive Golomb-Rice coding, and achi...
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This paper presents a fast lossless image compression method for space and satellite images. The method, which we call HIREW, is based on hierarchical interpolating prediction and adaptive Golomb-Rice coding, and achieves 7-35 times faster compression than existing methods such as JPEG2000 and JPEG-LS, at similar compression ratios. Additionally, unlike JPEG-LS, it supports additional features such as progressive decompression using resolution scaling. An implementation of this codec will be used in the Japan Aerospace Exploration Agency (JAXA)'s Venus Climate Orbiter mission (PLANET-C).
The authors compare the performances of three frame replenishment coding techniques over noiseless and noisy channels. For the noisy channel case, they present noise effects and error propagation effects for the three...
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The authors compare the performances of three frame replenishment coding techniques over noiseless and noisy channels. For the noisy channel case, they present noise effects and error propagation effects for the three coding techniques. The three frame replenishment coding techniques are: basic frame replenishment coding (BFR), label replenishment coding using vector quantization (LRVQ), and codeword replenishment coding using vector quantization (CWRVQ). Simulation results demonstrate that, for a noiseless channel, the LRVQ and CWRVQ techniques provide superior coding performance, and tolerance to changes in the picture, compared to the BFR technique. However, in the presence of channel noise, LRVQ and CWRVQ exhibit serious error propagation and noise effects, resulting in poor performance.< >
A novel boundary detection scheme based on "edge flow" is proposed in this paper. This scheme utilizes a predictive coding model to identify the direction of change in color and texture at each image locatio...
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A novel boundary detection scheme based on "edge flow" is proposed in this paper. This scheme utilizes a predictive coding model to identify the direction of change in color and texture at each image location at a given scale, and constructs an edge flow vector. By iteratively propagating the edge flow, the boundaries can be detected at image locations which encounter two opposite directions of flow in the stable state. A user defined image scale is the only significant control parameter that is needed by the algorithm. The scheme facilitates integration of color and texture into a single framework for boundary detection.
In this paper, a new predictive wavelet transform (PWT) is proposed to solve LiDAR point clouds attribute compression. Our method is a combination of predictive coding and Haar wavelet transform. Based on the spatial ...
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ISBN:
(纸本)9781665475938
In this paper, a new predictive wavelet transform (PWT) is proposed to solve LiDAR point clouds attribute compression. Our method is a combination of predictive coding and Haar wavelet transform. Based on the spatial information, a hierarchical predictive transform tree is designed to represent 3D irregular data points efficiently. Each level node is classified as a predictive node (P-node) or a transform node (T-node) according to the distances to its adjacent nodes. Then in a top-down coding process, the Haar transform is applied to all T-node pairs, and predictive coding is processed on all P-nodes alternately. It is shown by experimental results that the proposed PWT method offers better R-D performances compared with state-of-the-art methods.
We propose a new model of information processing in the visual cortex for the analysis of motionless images. It uses lateral inhibition and temporally segregated activations between cortical neurons, resulting in pred...
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We propose a new model of information processing in the visual cortex for the analysis of motionless images. It uses lateral inhibition and temporally segregated activations between cortical neurons, resulting in predictive coding. It is in agreement with some characteristics of the architecture of the visual cortex of the monkey. The model is based on the segregation of the times of arrival in the visual cortex of signals originating from the retina and relayed in the lateral geniculate nucleus. This distribution of delays depends both on the type of ganglion cell, of its position on the retina, and of its modulation by the cortical network. Indeed the parallel channels into which the retinal image is decomposed are represented as delay lines; and the resulting spatially uniform and discrete distribution of delays is modulated by spatial factors determined by the geometry of the retina.
This paper describes objective quality measures to evaluate speech quality for various kinds of voiceband CODECs in common. The voiceband CODECs studied were PCM, ADM, ADPCM, ATC (Adaptive Transform coding) and APC-AB...
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This paper describes objective quality measures to evaluate speech quality for various kinds of voiceband CODECs in common. The voiceband CODECs studied were PCM, ADM, ADPCM, ATC (Adaptive Transform coding) and APC-AB (Adaptive predictive coding with Adaptive Bit Allocation). First, several objective quality measures in time and frequency domain were defined. They were SNR, Segmental SNR, Spectral Distortion, LPC Cepstrum Distance, COSH, Likelihood Ratio and Weighted Likelihood Ratio. Second, speech quality for voiceband CODECs were evaluated by subjective and objective quality measures. The subjective measures used were based on opinion test and articulation test. Finally, the relationship between objective measures and subjectively evaluated values was studied. It was concluded that the LPC Cepstrum Distance measure had best correspondence to Mean Opinion Score, among the objective measures studied. It was also concluded that the Wighted Likelihood Ratio measure had best correspondence to Articulation Score.
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