The scaling and wavelet filters play a great role in the wavelet transform. They are used in the generation of the wavelet function by applying the filter implementation method. They are also used in the computation o...
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The scaling and wavelet filters play a great role in the wavelet transform. They are used in the generation of the wavelet function by applying the filter implementation method. They are also used in the computation of DWT coefficients algorithms such as the Mallat algorithm implemented by filter banks. These filters coefficients are commonly computed from Daubechies wavelet bases. In this paper, we present another method for the design of scaling and wavelet filters based on the FIR and IIR PR-QMF bank satisfying the regularity condition. Then we apply the designed filters in speech and image data compression by using the Mallet algorithms, and compute between the obtained results and those obtained from using Daubechies wavelet bases.
The Discrete wavelet Transform (DWT) is a well-known mathematical tool, which has been proved to offer very good results for Digital signalprocessingapplications. The DWT requires a massive computation, especially w...
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The Discrete wavelet Transform (DWT) is a well-known mathematical tool, which has been proved to offer very good results for Digital signalprocessingapplications. The DWT requires a massive computation, especially when real-time constraints are to be met, as it happens in a wide spectrum of applications; therefore dedicated processors are needed to achieve the necessary performance. In this paper a very high-speed VLSI implementation of a two-dimensional DWT processor suitable for imageprocessing is presented. The architecture is based on a bit-serial arithmetic; linear systolic arrays are employed for row filtering and parallel arrays for column filtering. Each basic building block of the arrays has been designed using a True Single Phase Clocking logic, then a manual place and route of the derived cells has been carried out. The processor works at 500 MHz and occupies less than 50 mm 2 in a 0.7 pm CMOS technology.
In this paper, a new image compresion method is presented. It is based on the use of the Distance Transform on Curved Space (DTOCS), which calculates an integer approximation of the weighted pseudo-Euclidean distance ...
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In this paper, a new image compresion method is presented. It is based on the use of the Distance Transform on Curved Space (DTOCS), which calculates an integer approximation of the weighted pseudo-Euclidean distance transform along discrete 8-paths, and topological raster patterns to determine coordinates for control points. The decompression is based on triangulating among the control points using Delaunay triangulation. The obtained images are compared to previously published methods and to the JPEG DCT-based method. It is shown that the obtained results are of the same quality as JPEG results and exceed other DTOCS and Delaunay based methods. It is also shown experimentally that the time complexity of the compression method presented in this paper does not depend on the number of control points, i.e. the compression ratio. Because of this and the locality of the decompression scheme this method could well be used in applications where a rapid flashing image is made more accurate over time.
The growth of networked multimedia systems has complicated copyright enforcement relative to digital images. One way to protect the copyright of digital images is to add an invisible structure to the image (known as a...
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The growth of networked multimedia systems has complicated copyright enforcement relative to digital images. One way to protect the copyright of digital images is to add an invisible structure to the image (known as a digital watermark) to identify the owner. In particular, it is important for Internet and image database applications that as much of the watermark as possible remain in the image after compression. image adaptive watermarks are particularly resistant to removal by signalprocessing attack such as filtering or compression. Common image adaptive watermarks operate in the transform domain (DCT or wavelet); the same domains are also used for popular image compression techniques (JPEG, EZW). This paper investigates whether matching the watermarking domain to the compression transform domain will make the watermark more robust to compression.
We propose a global method to match pair of images using the similarity information. Using a generic similarity distance between pixel pairs, this method can match any kind of images (gray levels, RGB, IR) or more gen...
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We propose a global method to match pair of images using the similarity information. Using a generic similarity distance between pixel pairs, this method can match any kind of images (gray levels, RGB, IR) or more generally any pair of 2D matrix (like spectrogram or wavelet transformations). Our algorithms search the best matching map in a 4-dimensional space defined by the Cartesian product of two input images. Several parameters like topological cost functions or global minimum search method can be adapted, function of specific applications. One of the proposed search method is an original extension of dynamic programming in 4D space. Other methods like iterated global searching or simulated annealing are proposed and their performances are compared. Typical applications are 3D stereo reconstruction, optical flow and velocity field computing or (sub-)pixel texture stretching measurement.
We address multiresolutional encoding and decoding within the embedded zerotree wavelet (EZW) framework for both images and video. By varying a resolution parameter, one can obtain decoded images at different resoluti...
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We address multiresolutional encoding and decoding within the embedded zerotree wavelet (EZW) framework for both images and video. By varying a resolution parameter, one can obtain decoded images at different resolutions from one single encoded bitstream, which is already rate scalable for EZW coders. Similarly one can decode video sequences at different rates and different spatial and temporal resolutions from one bitstream. Furthermore, a layered bitstream can be generated with multiresolutional encoding, from which the higher resolution layers can be used to increase the spatial/temporal resolution of the images/video obtained from the low resolution layer. In other words, we have achieved full scalability in rate and partial scalability in space and time. This added spatial/temporal scalability is significant for emerging multimedia applications such as fast decoding, image/video database browsing, telemedicine, multipoint video conferencing, and distance learning.
We propose an image compression algorithm that combines the W-transform, normalized quantization, and entropy coding to enhance the compression ratio. Experimental results show that the proposed algorithm achieves a h...
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ISBN:
(纸本)0780343573
We propose an image compression algorithm that combines the W-transform, normalized quantization, and entropy coding to enhance the compression ratio. Experimental results show that the proposed algorithm achieves a higher compression rate compared to the JPEG and the other previously proposed W-transform based method. Since the W-transform plays an important role in multi-resolution imageprocessingapplications and is the core operation in our image compression system, we realize it on a VLSI chip in order to increase the system speed performance. The processor can compute the W-transform of any length (even or odd) in a very high throughput rate using only 8 arithmetic processing elements. The physical design of the processor based on 0.6 /spl mu/m cell library is also included.
High performance FIR filters have applications in several video processing and digital communications systems. Audio and telecommunication applications may use filters at sample rates of 10-30 MHz. High-speed digital ...
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High performance FIR filters have applications in several video processing and digital communications systems. Audio and telecommunication applications may use filters at sample rates of 10-30 MHz. High-speed digital data communications or high rate video transmission systems may need preferment filters. This paper deals with the VLSI implementation of a recursive filter. The designed device will he used as a sub-element for the design of a DWT circuit. The performance of the DWT circuit depend on the performance of the MAC unit.
作者:
Lu, JApple Computer
Compression and Signal Processing Dept. MS 302-3MT Cupertino CA 95014 2 Infinite Loop United States
This paper studies the algorithms that reconstruct a signal from its wavelet extrema representation. We show that the existing reconstruction algorithms are inadequate in assuring a consistent reconstruction. We furth...
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ISBN:
(纸本)0819425915
This paper studies the algorithms that reconstruct a signal from its wavelet extrema representation. We show that the existing reconstruction algorithms are inadequate in assuring a consistent reconstruction. We further propose a method that can be used with a number of existing algorithms to guarantee a consistent reconstruction. The new method provides a rigorous way to prevent artifacts resulting from the spurious wavelet extrema in the reconstructed signal.
Our goal in this article is to present a quantitative study about speech recognition and the inherent problems of its applications and the computer processing. Our approach is characterized by independent speaker and ...
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ISBN:
(纸本)0819425915
Our goal in this article is to present a quantitative study about speech recognition and the inherent problems of its applications and the computer processing. Our approach is characterized by independent speaker and we made use of pre-processing the concept as wavelets Transform and as pattern recognition an Artificial Neural Network (ANN - Multilayer Perceptron -Backpropagation Algorithm).
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