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Hierarchical ensemble of global and local classifier for texture classification 1

Hierarchical ensemble of global and local classifier for tex...

引用

1st Euro-China conference on Intelligent Data Analysis and applications, ECC 2014

作者： Chen, Ming China Three Gorges University College of Computer and InformationTechnology No.8 Daxue Road YichangHubei China

ISBN: (纸本)9783319077727

In this paper, we propose a novel hierarchical ensemble classifier for texture classification by combining global Fourier features and local Gabor features. Specifically, in our method, global features are extracted from images firstly by 2D Discrete Fourier Transform. Then, real and imaginary components of low frequency band are concatenated to form a single feature set for further processing. Gabor wavelet transform is exploited for local feature extraction. Firstly, Gabor wavelets are used to extract local features from the whole image. Then, these features are spatially partitioned into a number of feature sets, each corresponding to a local patch of the image. After the above processes, an image can be represented by one Global Fourier Feature Set (GFFS) and multiple Local Gabor Feature Sets (LGFSes). These feature sets contain different discriminative information: GGS contains global discriminative information and each LGFS contains different local discriminative information. In order to make full use of all these diverse discriminative information, we propose multiple component classifiers by applying Fisher Discriminant Analysis (FDA) on GFFS and each LGFS, respectively. At last, we combine them into one ensemble by weighted sum rule. © 2014 Springer International Publishing Switzerland. All rights reserved.

关键词： wavelet transforms

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Channel noise reduction for compressed images using Singular Value Decomposition 5

Channel noise reduction for compressed images using Singular...

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5th International conference on Confluence - The Next Generation Information Technology Summit (Confluence)

作者： Manchanda, Meenu Gambhir, Deepak Vaish Coll Engn Rohtak Haryana India Amity Sch Engn & Technol New Delhi India

ISBN: (纸本)9781479942367

The paper is based on channel noise estimation and its reduction in compressed images using singular value decomposition. image compression reduces irrelevant and redundant image data so that image is stored in lesser space and can be transmitted efficiently. Reducing the storage area increases the capacity of storage medium as well as the channel bandwidth. However, when the compressed image is transmitted, noise is added to it via transmission channel and the image is distorted. Therefore, accurate noise estimation and its reduction in a wide variety of vision and image processing applications is an important issue. An efficient algorithm has been developed which is based on the study of singular values of noise corrupted images and estimates the noise level in images that is further used for setting up a threshold for wavelet denoising. This dependency of threshold value on the esimation of noise level results in a better quality of denoised image. This algorithm has been applied to JPEG and JPEG2000 compressed images and corresponding results have been analyzed in terms of parameters like MSE and PSNR. The algorithm is more reliable, shows robust behavior over a visual content and noise conditions and it is more efficient as compared to the other relevant existing methods.

关键词： image coding Matrix decomposition Noise measurement Noise reduction PSNR Transform coding transform coding Peak signal-to-noise ratio Noise reduction matrix decomposition Noise measurement images image coding Noise levels Singular value decomposition channel noise imagery (Psychotherapy) JPEG COMPRESSED Transmission channels channel bandwidth

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A robust audio zero-watermarking algorithm based on wavelet packet analysis 1

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1st Euro-China conference on Intelligent Data Analysis and applications, ECC 2014

作者： Zhang, Xueying Zhang, Wei Li, Fenglian Liu, Guangyu College of Information Engineering Taiyuan University of Technology Taiyuan China

ISBN: (数字)9783319077765

ISBN: (纸本)9783319077758

This paper proposed a new robust audio zero-watermarking algorithm which can be used to authenticate the copyright of digital audio. This algorithm has the following features: (1) it extracts the low frequency components of original audio to construct zero-watermarking by using the wavelet packet analysis method, ensures the imperceptibility of watermarking algorithm;(2) it uses cubic spline interpolation and multilevel scrambling technology to construct a meaningful zerowatermarking with a binary text image;it improves its safety and the robustness toward the attacks. Meanwhile, it is fairly straightforward to finish the authentication. The experimental result shows that this algorithm has strong robustness against typical common attacks and hostile attacks. © Springer International Publishing Switzerland 2014.

关键词： Authentication

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Parallel implementation of the discrete wavelet transform on graphics processing units

Parallel implementation of the discrete wavelet transform on...

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International conference on Advanced Technologies for signal and image processing (ATSIP)

作者： Randa Khemiri Fatma Sayadi Taoufik Saidani Marwa Chouchene Haythem Bahri Rached Tourki Faculty of Sciences of Monastir University of Monastir Monastir Tunisia

Discrete wavelet transform (DWT), has diverse applications in signal and image processing fields. In this paper, we have implemented the lifting "Le Gall 5/3" algorithm on a low cost NVIDIA's GPU (Graphics processing unit) with MatLab to achieve speedup in computation. The efficiency of our GPU based implementation is measured and compared with CPU based algorithms. Our investigational results with GPU show performance enhancement over a factor of 1.52 compared with CPU for an image of size 3072×3072.

关键词： Graphics processing units Discrete wavelet transforms image coding MATLAB Transform coding Acceleration

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Comparative analysis of wavelet transform algorithms for image compression

Comparative analysis of wavelet transform algorithms for ima...

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International conference on Communications and signal processing

作者： Arvind Kourav Ashutosh Sharma Dr. K. N. Modi University Newai Rajasthan INDIA Electronics & Communication Engineering Department Globus Engineering College Bhopal INDIA

The basic objective of this paper is to analyze the concept of wavelet based algorithms for image compression using different parameter. All algorithms are based on still images, The algorithm involved in the comparative analysis is wavelet Difference Reduction (WDR), Spatial orientation tree wavelet (STW), Embedded zero tree wavelet (EZW) and modified Set Partitioning in hierarchical trees (SPIHT). These algorithms are more effective and deliver a better feature in the image. In compression, wavelets transform have shown a good elasticity to a large amount of data, while being of realistic complexity. These techniques are used in many image processing applications. The techniques are compared by using the performance parameters peak signal to noise ratio (PSNR) & mean square error (MSE).

关键词： image coding Frequency measurement Noise Encoding Transforms Partitioning algorithms Internet

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DWT Subbands Fusion Using Ant Colony Optimization For Edge Detection

DWT Subbands Fusion Using Ant Colony Optimization For Edge D...

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signal processing and Communications applications conference

作者： Aminu Muhammad Ibrahim Bala Mohammad Shukri Salman Alaa Eleyan Electrical and Electronic Engineering Department Mevlana (Rumi) University

ISBN: (纸本)9781479948734

In this paper, a new approach for image edge detection using wavelet based ant colony optimization (ACO) is proposed. The proposed approach applies discrete wavelet transform (DWT) on the image. ACO is applied to the generated four subbands (Approximation, horizontal, vertical, and diagonal) separately for edge detection. After obtaining edges from the 4 subbands, inverse DWT is applied to fuse the results into one image with same size as the original one. The proposed approach outperforms the conventional ACO approach.

关键词： Ant colony optimization Discrete wavelet transform Edge detection

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Robust medical image watermarking scheme with rotation correction 1

Robust medical image watermarking scheme with rotation corre...

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1st Euro-China conference on Intelligent Data Analysis and applications, ECC 2014

作者： Gao, Lin Gao, Tiegang Sheng, Guorui Zhang, Shun College of Software Nankai University Tianjin China

ISBN: (纸本)9783319077727

In order to protect the image contents, many reversible medical image watermarking schemes have been proposed, although reversibility guaranteed the lossless of the cover image, but it also has some shortcomings such as it is vulnerable to geometrical attacks. So a novel robust watermarking scheme for medical image based on the combination Redundancy Discrete wavelet Transform (RDWT) and Singular Value Decomposition (SVD) is proposed in this letter. Different from the reversibility, which guarantees the perceptional lossless, the proposed scheme achieves satisfied visual quality by exploiting the visually masking property of RDWT, in the meantime, Speeded-Up Robust Features (SURF) and Random sample consensus (RANSAC) based rotation correction scheme is put forward, which can be used to restore the attacked image to the original state. The experimental results show that the proposed scheme has the large amounts of embedding capacity;it is also robust against rotation attacks;and the perceptional quality of watermarked image meets the need of usage in medical images. © 2014 Springer International Publishing Switzerland. All rights reserved.

关键词： Rotation

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A novel image fusion algorithm based on morphological wavelet transforms via lifting

A novel image fusion algorithm based on morphological wavele...

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IEEE International conference on signal processing, Communications and Computing (ICSPCC)

作者： Zheng-yan Shen Henan Police College Zhengzhou China

In order to improve the image analysis ability in some practical applications, an image fusion algorithm was proposed. This algorithm combined information from multiple images of the same scene in pixel level. Firstly, a group of lifting morphological wavelets for image fusion was discussed. Then using one of the schemes, multiple images were shift in different direction and decomposed respectively. Next, the transform coefficients were processed according to certain fusion criterion and some fusion results could be obtained through inverse transform and inverse displacement. Finally, such fused images were filtered to be one image we need. Computer simulation shows this algorithm in morphological wavelet domain can fuse grayscale images or color images effectively. Compared with the conventional wavelet transform, it gets a more complete and clearer scene.

关键词： wavelet transforms image fusion Filtering wavelet analysis Gray-scale Algorithm design and analysis

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Reversible image Watermarking Based on Genetic Algorithm

Reversible Image Watermarking Based on Genetic Algorithm

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International conference on Intelligent Information Hiding and Multimedia signal processing (IIHMSP)

作者： Yueh Hong Chen Hsiang Cheh Huang Dept. of Computer Sci. and Info. Eng. Far East University Tainan Taiwan R.O.C. Department of Electrical Engineering National University of Kaohsiung Kaohsiung Taiwan R.O.C.

Hiding data into images can be referred to as a constrained optimization problem. Hence, we proposed a reversible genetic watermarking scheme based on the wavelet packet transform in this paper. Genetic algorithm is used to select an appropriate basis from permissible bases of wavelet packet transform to increase the robustness of the embedded data, and the binary string to be hidden is embedded into middle and high frequency coefficients of the wavelet packet transform. The scheme to embed each binary value a modified version of "difference expansion". Experimental results show that the proposed method can resist some image processing methods, such as sharping operation, while keeping cover image quality and the amount of hidden data acceptable in real world applications.

关键词： Genetic algorithms wavelet packets Watermarking Biological cells Optimization

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Visually significant feature point maps for image retrieval applications

Visually significant feature point maps for image retrieval ...

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International conference on signal processing and Integrated Networks (SPIN)

作者： M Partha Sarathi M. A. Ansari ECE dept. Amity University Greater Noida India School of Engineering Gautam Buddha University Greater Noida India

In this paper, we propose a hybrid feature point detector based on a fusion of a multi-scale edge map and a wavelet based interest point representation. The feature points thus obtained are used for efficient image indexing and retrieval. Proposed method preserves an optimum number of significant feature points. Our method is compared against other existing interest point detectors. Efficacy of the proposed method is evaluated via a image retrieval system against the standard test databases. A similarity distance measure like Hausdorff distance is used for image matching, indexing and ranking of results considering the spatial information of the local structures in the image.

关键词： image edge detection Detectors wavelet transforms Feature extraction image retrieval signal processing algorithms

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