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A Comparative Analysis of Total Variation and Least Square Based Hyperspectral image Denoising Methods

A Comparative Analysis of Total Variation and Least Square B...

引用

International conference on communications and Signal processing

作者： Naveen Varghese Jacob V Sowmya K P Soman Center For Computational Engineering and Networking (CEN) Amrita Vishwa Vidyapeetham Coimbatore India

Hyperspectral image (HSI) with high spectral resolution will be always degraded by the noise accumulation. Therefore, image denoising is a fundamental preprocessing technique which improves the precision of successive processes like image classification, unmixing etc. In this paper, we compare least square (LS) weighted regularization in spectral domain with spatial least square and total variation (TV) denoising techniques. These methods are experimented on real, and noise simulated hyperspectral image datasets. The contrast and edges of the image are well preserved in the spectral LS. The image contrast varies in spatial LS, and edge informations are lost in TV. The experimental results show that, the spectral LS is superior to other two techniques in terms of visual interpretation, Signal-to-Noise Ratio (SNR) and Structural Similarity (SSIM) Index.

关键词： Noise reduction Signal to noise ratio Noise measurement Noise level Hyperspectral sensors visualization TV

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Robust Fabrication of Share to Assure Error Free Dissemination of Secret Data (RFSAEFDSD)

Robust Fabrication of Share to Assure Error Free Disseminati...

引用

International conference on Wireless communications, Signal processing and Networking (WiSPNET)

作者： Anirban Goswami Ritesh Mukherjee Nabin Ghoshal Techno India EM 4/1 Salt Lake Sec.-V Kolkata India Centre for Development of Advanced Computing Kolkata India Department of Engineering & Technological Studies University of Kalyani Kalyani India

ISBN: (纸本)9781538636251

In wireless domain, digital communication requires effective data security. The proposed algorithm promotes effective security by incorporating visual cryptography, sharing of secret data through robust fabrication, error identification & correction using the binary repetition code of length 3 and authentication of the secret data through Hash value checking. The effective utilization of two distinct color cover images and the three planes simultaneously justifies robustness in hiding. In addition, the use of mid frequency region of DCT spectrum and pseudorandom casting locations support resistance to some other image processing attacks apart from JPEG compression. The volume of payload is increased considerably by fabricating four bits at a time in a single block. The data correctness is well supported by reducing the computational overhead and introducing error bit correction. At the receiving end, the authorization of a document and its owner is ratified by a Hash function. The experimentation of the algorithm and subsequent analysis of the results depict the credibility of the algorithm in the domain of data security.

关键词： image color analysis Fabrication Cryptography Discrete cosine transforms image coding Receivers

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A Review on Recent Improved image Fusion Techniques 2

A Review on Recent Improved Image Fusion Techniques

引用

2nd IEEE International conference on Wireless communications, Signal processing and Networking (WiSPNET)

作者： Rajini, K. C. Roopa, S. Siddaganga Inst Technol Dept Elect & Commun Tumakuru 572103 Karnataka India

ISBN: (纸本)9781509044429

An image fusion is a process used to increase the visual interpretation of images in various applications. It integrates the necessary features of two or more images into a single image without introducing artifacts. The traditional image fusion methods are generally successful at inserting spatial detail into the multispectral imagery despite the color information in the mechanism is distorted. The significant amount of research has been conducted over the past decade related to the application of wavelet transforms in image fusion. Wavelets have gained a lot of importance due to its energy compaction and multiresolution properties. This paper presents the overview of image fusion technique and the results from a number of wavelet-based image fusion schemes are compared.

关键词： image fusion multispectral multiresolution wavelet transform

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Fast Non-local Means Denoising for MR image Sequences

Fast Non-local Means Denoising for MR Image Sequences

引用

International conference on Signal processing and communications, SPCOM

作者： Hemalata Bhujle Basavaraj Vadavadagi S.D.M. College of Engineering & Technology Dharwad India

ISBN: (纸本)9781538638224

Denoising algorithms are used for the enhancement of magnetic resonance (MR) images. MR images possess more structural details compared to normal images which have to be preserved for better diagnosis. Non-local means (NLM) filter is proved to be the best in preserving edges, however demands higher computations. From diagnostic perspective, the denoising algorithms should be computationally fast and accurate. The aim of this paper is to improve the accuracy and computational efficiency of unbiased NLM filter for MR image sequences. In this work we propose to do so by useful alternative of NLM technique in-conjunction with principal components for Rician noise. The variants of PCA based denoising techniques developed so far compute PCA locally for each image, thus decreasing computational efficiency. In this work we propose to compute PCA only once globally for each shot. A modified preprocessing step of shot boundary detection is employed to segregate 3D MR sequences in various shots based on its content similarity. Further denoising is carried out in non-local means framework with reduced dimensionality. We compare results with the existing NLM based MR denoising techniques and show that the proposed method is competitive in terms of attaining higher accuracy and computational efficiency. The performance of the proposed algorithm is evaluated with PSNR, SSIM and visual perception.

关键词： Noise reduction Rician channels Principal component analysis Covariance matrices image sequences Three-dimensional displays Magnetic resonance imaging

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Android Smartphone Based visual Object Recognition for visually Impaired Using Deep Learning

Android Smartphone Based Visual Object Recognition for Visua...

引用

International conference on communications and Signal processing

作者： Neel Parikh Ishita Shah Safvan Vahora Department of information technology Vishwakarma government engineering college Ahmedabad India

In this paper, we propose a deep learning based visual object recognition model, to guide a visually impaired person in an outdoor environment using a smartphone equipped with internet connectivity. The deep learning based computing is performed by the high-end server and is to be hosted on a cloud. The boosted optimized convolutional neural network (CNN) based visual object recognition model is proposed by experimenting various CNN models, different optimizers, and varying learning rate. visually impaired person captures the video and sends frame as input to the server for object segmentation and object recognition using proposed model. He then receives the information about surrounding objects and obstacles as voice input to the hearing device attached to the smartphone. The proposed system provides measurable high accuracy for recognition of 11 outdoor objects, to guide visually impaired person more effectively than traditional guiding cane.

关键词： Servers Feature extraction Object recognition Navigation image recognition Legged locomotion

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Pseudocoloring of Ultrasound images 25

Pseudocoloring of Ultrasound Images

引用

25th Signal processing and communications Applications conference (SIU)

作者： Konyarl, M. Zeki Erturk, Sarp Kocaeli Univ Bilisim Sistemleri Muhendisligi Bolumu Izmit Turkey Kocaeli Univ Elekt & Haberlesme Muhendisligi Bolumu Izmit Turkey

ISBN: (纸本)9781509064946

Human visual system detects details in coloured images better. Sometimes interpretation of details in gray scale ultrasound images becomes harder. So in this work pseudocoloring of ultrasound images using empirical mode decomposition (EMD) is proposed. EMD doesn't use base function so it has more advantages than Fourier and wavelet transforms. The proposed method pseudocolored image by assigning two dimensional images to red, green and blue color channels. The images obtained by the proposed method are more preferred when compared with the results in the literature.

关键词： empirical mode decomposition pseudocolor ultrasound image

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Perceptual Quality Evaluation of 3D Triangle Mesh: A Technical Review

Perceptual Quality Evaluation of 3D Triangle Mesh: A Technic...

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International conference on Audio, Language and image processing, ICALIP

作者： A. A. M Muzahid Wanggen Wan Xiang Feng School of Communications and Information Engineering Shanghai University Shanghai China Faculty of Engineering and Information Technology University of Technology Sydney Australia

During mesh processing operations (e.g. simplifications, compression, and watermarking), a 3D triangle mesh is subject to various visible distortions on mesh surface which result in a need to estimate visual quality. The necessity of perceptual quality evaluation is already established, as in most cases, human beings are the end users of 3D meshes. To measure such kinds of distortions, the metrics that consider geometric measures integrating human visual system (HVS) is called perceptual quality metrics. In this paper, we direct an expansive study on 3D mesh quality evaluation mostly focusing on recently proposed perceptual based metrics. We limit our study on greyscale static mesh evaluation and attempt to figure out the most workable method for real-time evaluation by making a quantitative comparison. This paper also discusses in detail how to evaluate objective metric's performance with existing subjective databases. In this work, we likewise research the utilization of the psychometric function to expel non-linearity between subjective and objective values. Finally, we draw a comparison among some selected quality metrics and it shows that curvature tensor based quality metrics predicts consistent result in terms of correlation.

关键词： Three-dimensional displays visualization Distortion Distortion measurement Tensile stress Solid modeling

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DeepPalm-A Unified Framework for Personal Human Authentication

DeepPalm-A Unified Framework for Personal Human Authenticati...

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International conference on Signal processing and communications, SPCOM

作者： Gaurav Jaswal Amit Kaul Ravinder Nath Aditya Nigam Dept. of Electrical Engg. National Institute of Technology Hamirpur India Sch. of Computing and Electrical Engg. Indian Institute of Technology Mandi India

ISBN: (纸本)9781538638224

Different biometric traits have been proved to carry unique biological information of an individual. Although their use is always problem specific but the good performance of palm print represents a recent trend in this field. In this paper, we have proposed a novel generalized segmentation Network (PSegNet), that automatically categorize the palm print image obtained from multiple sensory resources and then detect the fixed size ROIs accurately. To best of our knowledge, this is the first attempt, of an end-to-end trained object detector, inspired by Deep Learning technique namely faster R-CNN (Region based Convolutional Neural Network) has been employed to detect and localize the position of palm. Then, the ROI image is well enhanced and transformed into illumination invariant visual representation. Over this, hand crafted features are patch-wise computed and the sub-patches are recursively matched using deformable dense matching technique called as Deep-Matching. The experimental results are examined on three publicly available palm print databases namely Poly-U, CASIA, and GPDS-CL1 databases. The proposed approach achieves equal error rate (EER) of 0.083%, decidability index (DI) of 2.94 and rank-1 identification rates (CRR) of 100% that justifies the role of CNN based ROI segmentation and multi-scale Deep-Matching criterion.

关键词： image segmentation Feature extraction Training Indexes Transmission line matrix methods Computer architecture

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Medical image Denoising Using Synergistic Fibroblast Optimization Based Weighted Median Filter

Medical Image Denoising Using Synergistic Fibroblast Optimiz...

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International conference on Advances in Electronics, Computers and communications (ICAECC)

作者： T T Dhivyaprabha G Jayashree P Subashini Department of Computer Science Avinashilingam Institute for Home Science and Higher Education for Women Coimbatore India Department of Information Technology Kumaraguru College of Technology Coimbatore India

image analysis involves processing and extraction of knowledge from images which is significantly useful in the large scale of medical and engineering applications. image denoising is primarily applied in image analysis for degradation of noise, and thus improves the visual quality of images for information retrieval process. In the recent scenarios, due to the increase of complexity and diversity of digital images, removal of noise present in complicated images using classical filters becomes a quite challenge. The objective of this paper is to investigate the performance efficiency of a newly developed Synergistic Fibroblast optimization based Weighted Median Filter (SFO-WMF) for medical image analysis. Experiments are carried out with benchmark images, real time Magnetic Resonance Imaging (MRI) images, ultrasound breast cancer images and compared with conventional filters, namely, mean filter, median filter, wiener filter, Gaussian filter and weighted median filter. The performances of filters are validated using standard performance metrics and computational results demonstrated that the novel filter produces promising results and it outperforms than conventional filters in both qualitative and quantitative perspectives.

关键词： Wiener filters Adaptive filters Filtering algorithms Finite impulse response filters Magnetic resonance imaging Digital images

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Human visual System Inspired Color Space Transform in Lossy JPEG 2000 and JPEG XR Compression 13th

Human Visual System Inspired Color Space Transform in Lossy ...

引用

13th International Scientific conference on Beyond Databases, Architectures and Structures (BDAS)

作者： Starosolski, Roman Silesian Tech Univ Inst Informat Akad 16 PL-44100 Gliwice Poland

ISBN: (纸本)9783319582740

In this paper, we present a very simple color space transform HVSCT inspired by an actual analog transform performed by the human visual system. We evaluate the applicability of the transform to lossy image compression by comparing it, in the cases of JPEG 2000 and JPEG-XR coding, to the ICT/YCbCr and YCoCg transforms for 3 sets of test images. The presented transform is competitive, especially for high-quality or near-lossless compression. In general, while the HVSCT transform results in PSNR close to YCoCg and better than the most commonly used YCbCr transform, at the highest bitrates it is in many cases the best among the tested transforms. The HVSCT applicability reaches beyond the compressed image storage;as its components are closer to the components transmitted to the human brain via the optic nerve than the components of traditional transforms, it may be effective for algorithms aimed at mimicking the effects of processing done by the human visual system, e.g., for image recognition, retrieval, or image analysis for data mining.

关键词： image processing Color space transform Human visual system Bio-inspired computations Lossy image compression ICT YCbCr YCoCg LDgEb image compression standards JPEG 2000 JPEG XR

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