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image retrieval for compressed and uncompressed images

Image retrieval for compressed and uncompressed images

引用

International conference on Information, Communications and signal processing

作者： Vidya R. Khapli Anjali S Bhalchandra K K Wagh Womens Polytechnic Nashik India Government College of Engineering Aurangabad India

ISBN: (纸本)9781424446568

To reduce the storage and transmission requirements in image applications, images are compressed while maintaining acceptable visual quality. In this paper, image retrieval using Vector Quantization (VQ) is explored. The VQ technique is tested on uncompressed images (UCID) as well as compressed images (JPG). In order to reduce the retrieval time, the images are converted into thumbnails and the retrieval performance in both the domains is observed. The testing is performed with various thumbnail sizes. Performance is evaluated by using Precision and Recall. It is observed that the retrieval performance using VQ for compressed images remains comparable with that with uncompressed images.

关键词： image retrieval image coding image storage Indexing Information retrieval Pixel Vector quantization Discrete Fourier transforms Discrete wavelet transforms Testing

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Edge-Based image Watermarking Method with Weighted Discrete Cosine Transform Coefficients

Edge-Based Image Watermarking Method with Weighted Discrete ...

引用

IEEE signal processing and Communications applications (SIU)

作者： Rukiye Karakiş Kali Gü rkahraman Yaz&#x0131 l&#x0131 m M&#x00FC hendisli&#x011F i B&#x00F6 l&#x00FC m&#x00FC Sivas Cumhuriyet &#x00DC niversitesi Sivas T&#x00FC rkiye Bilgisayar M&#x00FC

ISBN: (数字)9781665450928

ISBN: (纸本)9781665450935

In image watermarking, hybrid approaches increase imperceptibility and robustness. Also, a scaling factor is used, which should be optimized when combining the cover image and watermark. In this study, discrete wavelet transform and discrete cosine transform (DCT) were used together. The watermark-edge image was obtained by randomly inserting the watermark on the horizontal, vertical and diagonal edge points of the cover image detected with Sobel. The DCT frequency components of the watermark-edge image were weighted with a generated matrix and combined with the DCT of the cover image. According to the obtained results, the proposed method is imperceptible and robust to various attacks, especially JPEG compression and noise attacks.

关键词： image coding image edge detection Transform coding Watermarking Transforms signal processing Robustness

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Unsupervised approach for change map generation

Unsupervised approach for change map generation

引用

International conference on Communications and signal processing

作者： Harshada N. Mahulkar Bhakti Sonawane Computer Engineering Department Shah and Anchor kutcchi College of Engineering Mumbai India

ISBN: (纸本)9781467385497

Change detection is the process of automatically identifying and analyzing region that have undergone spatial or spectral changes from multi temporal images. Detecting and representing change provides valuable information of the possible transformations a given scene has suffered over time. Change detection is used in several applications (eg. Disaster management, deforestation, urbanization, etc). In the proposed unsupervised method co-registered and radiometrically corrected temporal images are used as input. Using this, absolute valued image and log ratio image is calculated to get difference image. These difference images are fused using Discrete wavelet Transform (DWT). Then, min-mean normalization is applied to the get filtered data. The normalized data is clustered into two groups using K-means clustering algorithm as changed pixels and unchanged pixels. Experiment result is also calculated using two different ways. In first, fused image data is given to Principal Component Analysis (PCA) and clustering is done using K-means algorithm and in second way Fuzzy c-means clustering algorithm is used to cluster image data.

关键词： Discrete wavelet transforms Principal component analysis Clustering algorithms Algorithm design and analysis Change detection algorithms Remote sensing

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QUATERNIONIC APPROACH TO THE ONE-REGULAR EIGHT-BAND LINEAR PHASE PARAUNITARY FILTER BANKS

QUATERNIONIC APPROACH TO THE ONE-REGULAR EIGHT-BAND LINEAR P...

引用

European signal processing conference

作者： Marek Parfieniuk Alexander Petrovsky University of Pisa

Besides perfect reconstruction and linear phase, regularity is a desirable essential property of filter banks for image coding as it is associated with the smoothness of the related wavelet basis. This paper shows how to constrain quaternionic factorizations of eightband linear phase paraunitary filter banks to have the first regularity structurally imposed. The result is not very general but some facts make it notable. Firstly, these systems are a direct extension of the standard eight-point discrete cosine transform (DCT) and this facilitates practical applications. Secondly, the first regularity eliminates the DC leakage which cause visually annoying checkerboard artifact. Finally, our solution offers clear advantages over the known ones as the regularity conditions are formulated directly in terms of quaternionic lattice coefficients. Namely, both regularity and losslessness can be easily preserved regardless of coefficient quantization unavoidable in finite-precision implementations.

关键词： DC leakage Filter banks Banks Banks wavelet basis DirectX perfect reconstruction image coding linear phase discrete cosine transforms Quaternion Filters Smoothness flexible AC transmission systems

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An Efficient Implementation of a 2D DWT on FPGA

An Efficient Implementation of a 2D DWT on FPGA

引用

International conference on Field Programmable Logic and applications

作者： Michael Wisdom Peter Lee Electronics Department University of Kent UK

This paper presents a high-speed implementation of a 2-D fixed-point discrete wavelet transform (DWT) using the embedded DSP48 blocks available on a Xilinx Virtex-4 XC4VLX15-10 FPGA. The full transform uses just 10 DSP48 blocks, 3 block RAMs and 2,126 logic elements when synthesized using Xilinx ISE Version 8.2i and can perform calculations at 197.2 MHz. The results clearly show that by using the DSP48 blocks, it is possible to build computationally efficient DWT algorithms that can operate at higher speeds and with lower overall logic resources than other FPGA solutions that have been reported previously.

关键词： Discrete wavelet transforms Field programmable gate arrays Hardware Low pass filters image coding Logic signal processing algorithms Digital signal processing Finite impulse response filter Computer architecture

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Watermarking for Depth Map Based 3D images using wavelet transform

Watermarking for Depth Map Based 3D images using wavelet tra...

引用

International conference on Communications and signal processing

作者： Smita Jagdishprasad Jaipuria Department of Electronics and Telecommunication JSCOE Pune India

3D content protection, Effective digital watermarking systems will play a very important role for promoting and developing the 3D entertainment industry. 3D images are used widely in medical imaging, virtual reality, computer aided design and video games. Recently, different types of 3D applications and the uses of 3D content are growing up, with the emerging of low cost 3D display devices. The main aim of this project is to present the efficient and robust watermarking scheme for Depth Map Based 3D images. This method called depth-image-based rendering (DIBR). To present the new system framework for proposed 3D image watermarking approach. This paper focuses on the advantages of this new approach on 3D TV. In this paper, we propose a robust watermarking scheme for DIBR 3D images by quantization on wavelet transform coefficients with consideration of imperceptibility. Watermarking scheme is proposed for the content protection problem of DIBR 3D images.

关键词： Three-dimensional displays TV Biomedical imaging Robustness Rendering (computer graphics) image resolution Smoothing methods

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UNDECIMATED HIERARCHICAL ACTIVE CONTOURS FOR OCT image SEGMENTATION

UNDECIMATED HIERARCHICAL ACTIVE CONTOURS FOR OCT IMAGE SEGME...

引用

IEEE International conference on image processing

作者： Ahmed Gawish Paul Fieguth Sebastian Marschall Kostadinka Bizheva Vision and Image Processing (VIP) Lab Dept. of Systems Design Engineering University of Waterloo Dept. of Physics and Astronomy University of Waterloo

ISBN: (纸本)9781479957521

A limitation of Optical Coherence Tomography (OCT) image segmentation is the poor signal-to-noise ratio of the imaging process, particularly because images are sampled quickly, at high resolutions, and in-vivo. Furthermore, speckle noise is generated by the reflections of the OCT LASER. Because OCT is widely used in imaging the cornea, retina, and skin, OCT layer segmentation is of key interest in all applications. In this paper, a multi-resolution parametric active contour is used for OCT segmentation. The proposed method uses an undecimated wavelet transform to obtain scale-dependent noise reduction, while the active contour is initialized with a generalized Hough transform. Experimental results show that the proposed method outperforms classical as well as state-of-the-art methods and segments OCT images with high level of accuracy.

关键词： Undecimated wavelet transform Optical coherence tomography Active contours Hough transform

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Compressive sensing in through-the-wall radar imaging

Compressive sensing in through-the-wall radar imaging

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International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Michael Leigsnering Christian Debes Abdelhak M. Zoubir Signal Processing Group Technische Universität Darmstadt Darmstadt Germany

High resolution through-the-wall radar imaging (TTWRI) demands wideband signals and large array apertures. Thus a vast amount of measurements is needed for a detailed reconstruction of the scene of interest. For practical TTWRI systems it is imperative to reduce the number of samples to cut down on hardware cost and/or acquisition time. This can be achieved by employing compressive sensing (CS). Existing approaches imply a point target assumption, which may not hold in practical applications. We apply a novel CS approach for TTWRI using the 2D discrete wavelet transform to sparsify images. In this fashion, we overcome the above stated limitation and are able to deal with extended targets. Experimental results show that high image qualities are obtained, similar to images generated using the full measurement set.

关键词： Arrays Radar imaging Discrete wavelet transforms Compressed sensing Array signal processing Equations Wideband

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Synthesis of a class of data format converters with specified delays

Synthesis of a class of data format converters with specifie...

引用

International conference on Application Specific Array Processors

作者： Jongwoo Bae V.R. Prasanna Heonchul Park Department of Electrical Engineering-Systems University of Southern California Los Angeles CA USA

ISBN: (纸本)0818665173

We propose a design methodology for synthesis of a special class of Data Format Converters (DFCs) in which the site of I/O sequences and the delays between I/O sequences are specified. The need for such DFCs arises in many signal and image processing applications. Our DFCs are based on a two-dimensional architecture. The designs using our methodology have maximum throughput rate and are area-efficient. A VLSI architecture for computing the discrete wavelet transform is given as an example to illustrate the proposed design methodology. The design of a Zig-zag Scanner is also given. For several representative problems, the area requirements of our designs are compared against those obtained by earlier design methodologies. For all the problems considered, our methodology leads to compact designs.< >

关键词： Design methodology Digital-to-frequency converters Computer architecture Discrete wavelet transforms signal synthesis Delay signal processing image processing Throughput Very large scale integration

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Accelerating Discrete Haar wavelet Transform on GPU Cluster

Accelerating Discrete Haar Wavelet Transform on GPU Cluster

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International conference on Electrical and Electronics Engineering

作者： Selcuk Aslan Hasan Badem Dervis Karaboga Alper Basturk Tayyip Ozcan Erciyes University Engineering Faculty Computer Engineering Department

ISBN: (纸本)9781467379120

The Discrete Haar wavelet Transform has a wide range of applications from signal processing to video and image processing. Data-intensive structure and easy of implementation make Discrete Haar wavelet Transform convenient to distribute fundamental operations to multi-CPU and multi-GPU systems. In this paper, the wavelet transform was ported in a compute-efficient way to CPU cluster and programmable GPU cluster by utilizing MPI and CUDA respectively. Experimental studies conducted as part of the parallelization strategies for two-dimensional Discrete Haar wavelet Transform show that the total running time required to process all rows and columns of an image with different size is significantly decreased on the GPU cluster when compared to the its counterparts on a single CPU, single GPU and CPU cluster. Besides the speedup of the GPU based transform, preliminary analysis also showed that the size of the image is an important parameter on the scalability of the GPU cluster.

关键词： GPU CPU CUDA

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