There has been much recent interest in the use of wavelet-based image compression schemes. They offer various advantages, not least the elimination of the need to segment an image prior to using the Discrete Cosine Tr...
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ISBN:
(纸本)088986442X
There has been much recent interest in the use of wavelet-based image compression schemes. They offer various advantages, not least the elimination of the need to segment an image prior to using the Discrete Cosine Transform (DCT). It is shown in this paper, however, that image segmentation and separation can produce an equivalent performance to more conventional schemes and can offer certain advantages. A wavelet-based image compression scheme is presented in which an image is first partitioned into high and low frequency segments and different wavelets are then applied using the 2-D discrete wavelet transformation (DWT).
Scalable video coding via motion-compensated spatio-temporal wavelet decompositions has gained a great interest in transmission over heterogeneous networks due to the flexibility of the resulting bitstream to accomoda...
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ISBN:
(纸本)0819452114
Scalable video coding via motion-compensated spatio-temporal wavelet decompositions has gained a great interest in transmission over heterogeneous networks due to the flexibility of the resulting bitstream to accomodate various network conditions as well as user capabilities and demands. Meanwhile, the adaptation of the video bitstream to the available bandwidth can lead to discarding the finest detail subbands during the transmission. The loss of these subbands would result in a low quality, oversmoothed reconstructed sequence. In this paper, we present a statistical spatio-temporal model between the wavelet coefficients and we show its efficiency in the prediction of the high frequency subbands and in the quality enhancement of the scalable video.
With the variety of advanced payloads available in E/O systems, operators can easily become confused or overwhelmed with the amount of data available to them. FLIR systems has taken the approach of backing sensor appl...
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ISBN:
(纸本)0819453293
With the variety of advanced payloads available in E/O systems, operators can easily become confused or overwhelmed with the amount of data available to them. FLIR systems has taken the approach of backing sensor applications with advanced signalprocessing and control systems to reduce the data set to relevant information and reduce operator workload. Architectures are discussed for signalprocessing and implementations with FPGA and DSP chips are compared and contrasted. Three signalprocessing case studies are covered in detail: autofocus, haze penetration and image blending.
This paper investigates video coding with wavelet transforms applied in the temporal direction of a video sequence. The wavelets are implemented with the lifting scheme in order to permit motion compensation between s...
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ISBN:
(纸本)0819452114
This paper investigates video coding with wavelet transforms applied in the temporal direction of a video sequence. The wavelets are implemented with the lifting scheme in order to permit motion compensation between successive pictures. We improve motion compensation in the lifting steps and utilize complementary motion-compensated signals. Similar to superimposed predictive coding with complementary signals. this approach improves compression efficiency. We investigate experimentally and theoretically complementary motion-compensated signals for lifted wavelet transforms. Experimental results with the complementary motion-compensated Haar wavelet and frame-adaptive motion compensation show improvements in coding efficiency of up to 3 dB. The theoretical results demonstrate that the lifted Haar wavelet scheme with complementary motion-compensated signals is able to approach the bound for bit-rate savings of 2 bits per sample and motion-accuracy step when compared to optimum intra-frame coding of the input pictures.
Scalable wavelet video coders based on Motion Compensated Temporal Filtering (MCTF) have been shown to exhibit good coding efficiency over a large range of bit-rates, in addition to providing spatial, temporal and SNR...
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ISBN:
(纸本)0819454966
Scalable wavelet video coders based on Motion Compensated Temporal Filtering (MCTF) have been shown to exhibit good coding efficiency over a large range of bit-rates, in addition to providing spatial, temporal and SNR scalabilities. However, the complexity of these wavelet video coding schemes has not been thoroughly investigated. In this paper, we analyze the computational complexity of a fully-scalable MCTF-based wavelet video decoder that is likely to become part of the emerging MPEG-21 standard. We model the change in computational complexity of various components of the decoder as a function of bit-rate, encoding parameters such as filter types for spatial and temporal decomposition and the number of decomposition levels, and sequence characteristics. A key by-product of our analysis is the observation that fixed-function hardware accelerators are not appropriate for implementing these next generation fully scalable video decoders. The absolute complexity of the various functional units as well as their relative complexity varies depending on the transmission bit-rate, thereby requiring different hardware/software architecture support at different bit-rates. To cope with these variations, a preliminary architecture comprising of a reconfigurable co-processor and a general purpose processor is proposed as an implementation platform for these video decoders. We also propose an algorithm to utilize the co-processor efficiently.
Wavelet transforms are becoming increasingly important as an imageprocessing technology. Their efficient implementation using commercially available VLSI technology is a subject of continuous study and development. T...
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ISBN:
(纸本)0819453625
Wavelet transforms are becoming increasingly important as an imageprocessing technology. Their efficient implementation using commercially available VLSI technology is a subject of continuous study and development. This paper presents the implementation using modern Altera APEx20K field-programmable logic (FPL) devices of reduced complexity and high performance wavelet architectures by means of the residue number system (RNS). The improvement is achieved by reducing arithmetic operations to modulo operations executed in parallel over small wordy length channels. The systems are based on index arithmetic over Galois fields and the key for attaining low-complexity and high-throughput is an adequate selection of a small word-width modulus set. These systems are programmable in the sense that their coefficients can be reprogrammed in order to make them more suitable for most of the applications. FPL-efficient converters are also developed and the overhead of the input and output conversion is assessed. The design of a reduced complexity epsilon-CRT converter makes the conversion overhead of this kind of systems be not important for their practical implementation. The proposed structures are compared to traditional systems using 2's complement arithmetic. With this and other innovations, the proposed architectures are about 65% faster than the 2's complement designs and require fewer logic elements in most cases.
The inspection and monitoring of the wear of grinding tools is essential to ensure the quality of the grinding tool surface and the finished product Most of the current methods for examining a grinding tool surface re...
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ISBN:
(纸本)0819449989
The inspection and monitoring of the wear of grinding tools is essential to ensure the quality of the grinding tool surface and the finished product Most of the current methods for examining a grinding tool surface rely on dismounting the grinding tool. Often, the state of the grinding tool surface is checked indirectly by evaluating the quality of the workpiece. We describe the application of imageprocessing, which offers an effective means for in situ inspection and monitoring. It yields more detailed information about the surface and the kind of wear observed than the common methods. By using multidirectional illumination and image fusion, an image with a high degree of relevant information is generated that is then segmented using the wavelet transform (multiscale analysis) and classified to distinguish grains and cavities on the surface. Results of the application of the algorithms for a high-performance grinding tool with CBN grains embedded in a resin base are presented. (C) 2004 SPIE and IST.
The new Motion JPEG 2000 standard is providing with some compelling features. It is based on an intra-frame wavelet coding. which makes it very well suited for wireless applications. Indeed, the state-of-the-art wavel...
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ISBN:
(纸本)0819452114
The new Motion JPEG 2000 standard is providing with some compelling features. It is based on an intra-frame wavelet coding. which makes it very well suited for wireless applications. Indeed, the state-of-the-art wavelet coding scheme achieves very high coding efficiency. In addition, Motion JPEG 2000 is very resilient to transmission errors as frames are coded independently (intra coding). Furthermore, it requires low complexity and introduces minimal coding delay. Finally, it supports very efficient scalability. In this paper, we analyze the performance of Motion JPEG 2000 in error-prone transmission. We compare it to the well-known MPEG-4 video coding scheme, in terms of coding efficiency, error resilience and complexity. We present experimental results which show that Motion JPEG 2000 outperforms MPEG-4 in the presence of transmission errors.
In this paper, an objective criterion on wavelet filters in proposed. Wavelet transforms are used in number of important signal and image industrial processing tasks including image coding and denoising. The choice of...
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ISBN:
(纸本)0819455601
In this paper, an objective criterion on wavelet filters in proposed. Wavelet transforms are used in number of important signal and image industrial processing tasks including image coding and denoising. The choice of the wavelet filter bank is is very important and is directly linked to the efficiency of the application. Some criteria have been proposed such as regularity, size of the support of the wavelet and number of vanishing moments. The size of the wavelet support increases with the number of vanishing moments. The wavelet regularity is important to reduce the artifacts. The choice of an optimal wavelet is thus the result of a trade-off between the number of vanishing moments and artifacts. But there is only a partial correlation between filter regularity and reconstructed image quality. The proposed criterion is composed of two indexes. The first one is a frequency index computed from the aliasing of the filters. The second is a spatial index computed from the spread of the coefficients in spatial domain. From these indexes a filter set can be represented by a point in a criteria-plan. The abscissa is given by the frequency index and the ordinate by the spatial index. The quality of a wavelet filter bank is a trade-off between frequency and spatial quality. So the quality of a wavelet filter bank can be assessed from the position of the corresponding point in the criteria-plan. The coding and denoising performances are estimated for various filters (including orthogonal splines and Daubechies). These performances are connected to the indexes of each filter bank. The results show that the two proposed indexes allow : a good estimation of the coding and denoising performances of the wavelet filters, an objective comparison of the filters. Some clues on the connection between our indexes and the kernel size in the Heisenberg-Gabor formula are also given.
Wavelet transform method is developed independently in the fields of mathematics, quantum physics, electrical engineering, and seismic geology from a several decades. The wavelets are mathematical functions that cut u...
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ISBN:
(纸本)081945415X
Wavelet transform method is developed independently in the fields of mathematics, quantum physics, electrical engineering, and seismic geology from a several decades. The wavelets are mathematical functions that cut up data into different frequency components, and then study each component with a resolution matched to its scale. This method is more useful than traditional Fourier methods, when the signal contains discontinuities and sharp spikes. Interactions between different scientific fields have led to many new wavelet applications such as image compression, turbulence, human vision, radar, and earthquake prediction. This paper is dedicated to possibility of using the wavelet transform in some optical research method i.e. interference images analysis. Special attention is paid to noise detection in these images.
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