检索结果-内蒙古大学图书馆

International Conference on Computer communications and Electronics (Comptelix)

作者： Mishra, Kapil Saharan, Ravi Cent Univ Rajasthan Comp Sci & Engn Dept NH-8 Bandarsindri Kishangarh India

ISBN: (纸本)9781509047086

As the network technologies are improving, more challenges are coming forward in form of huge amount of data being transferred through the network. A large portion of such data is of multimedia type consisting of huge amount of digital images being sent and received through the network. In this paper, an integrated image compression and encryption technique using run length encoding scheme and henon chaotic map is presented. Run length encoding scheme is common scheme and a natural choice for image compression. Run length encoding generates (value, count) pairs such that the value is repeated 'count' number of times. In this paper, we used the run length encoding technique for lossy image compression. We designed a lossy run length encoder that exploits the pixel redundancy and visual imperceptibility of human eye to fine details in the digital images. Along with compression we perform image encryption using henon chaotic map. After encryption the size and resolution of the image is changed that further enhances the security. Various experiments are performed calculating various performance matrices-histogram, information entropy, PSNR, Compression ratio, and MSE. The algorithm is secure enough to thwart various statistical attacks while being easy to implement and fast.

关键词： image encryption image compression image processing run length encoding henon chaotic map

来源：评论

学校读者我要写书评

暂无评论

Quality Assessment of Perceptual Crosstalk on Two-View Auto-Stereoscopic Displays

引用

ieee TRANSACTIONS ON image processing 2017年第10期26卷 4885-4899页

作者： Kim, Jongyoo Kim, Taewan Lee, Sanghoon Bovik, Alan Conrad Yonsei Univ Dept Elect & Elect Engn Seoul 03722 South Korea Univ Texas Austin Lab Image & Video Engn Dept Elect & Comp Engn Austin TX 78712 USA

Crosstalk is one of the most severe factors affecting the perceived quality of stereoscopic 3D images. It arises from a leakage of light intensity between multiple views, as in auto-stereoscopic displays. Well-known determinants of crosstalk include the co-location contrast and disparity of the left and right images, which have been dealt with in prior studies. However, when a natural stereo image that contains complex naturalistic spatial characteristics is viewed on an auto-stereoscopic display, other factors may also play an important role in the perception of crosstalk. Here, we describe a new way of predicting the perceived severity of crosstalk, which we call the Binocular Perceptual Crosstalk Predictor (BPCP). BPCP uses measurements of three complementary 3D image properties (texture, structural duplication, and binocular summation) in combination with two well-known factors (co-location contrast and disparity) to make predictions of crosstalk on two-view auto-stereoscopic displays. The new BPCP model includes two masking algorithms and a binocular pooling method. We explore a new masking phenomenon that we call duplicated structure masking, which arises from structural correlations between the original and distorted objects. We also utilize an advanced binocular summation model to develop a binocular pooling algorithm. Our experimental results indicate that BPCP achieves high correlations against subjective test results, improving upon those delivered by previous crosstalk prediction models.

关键词： Auto-stereoscopic display crosstalk quality assessment human visual system

来源：评论

学校读者我要写书评

暂无评论

Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation Understanding semantic layout of images with minimum human supervision

引用

ieee SIGNAL processing MAGAZINE 2017年第6期34卷 39-49页

作者： Hong, Seunghoon Kwak, Suha Han, Bohyung Univ Michigan Dept Elect Engn & Comp Sci Ann Arbor MI 48109 USA Daegu Gyeongbuk Inst Sci & Technol Dept Informat & Commun Engn Daegu South Korea Inria Paris WILLOW Team Paris France Ecole Normale Super Paris France POSTECH Dept Comp Sci & Engn Pohang South Korea

Semantic segmentation is a popular visual recognition task whose goal is to estimate pixel-level object class labels in images. This problem has been recently handled by deep convolutional neural networks (DCNNs), and the state-of-the-art techniques achieve impressive records on public benchmark data sets. However, learning DCNNs demand a large number of annotated training data while segmentation annotations in existing data sets are significantly limited in terms of both quantity and diversity due to the heavy annotation cost. Weakly supervised approaches tackle this issue by leveraging weak annotations such as image-level labels and bounding boxes, which are either readily available in existing large-scale data sets for image classification and object detection or easily obtained thanks to their low annotation costs. The main challenge in weakly supervised semantic segmentation then is the incomplete annotations that miss accurate object boundary information required to learn segmentation. This article provides a comprehensive overview of weakly supervised approaches for semantic segmentation. Specifically, we describe how the approaches overcome the limitations and discuss research directions worthy of investigation to improve performance.

关键词： Machine learning Semantics visualization image segmentation image recognition Neural networks Benchmark testing

来源：评论

学校读者我要写书评

暂无评论

A proposed computer-aided diagnosis system for Parkinson's disease classification using 123I-FP-CIT imaging 3

A proposed computer-aided diagnosis system for Parkinson's d...

引用

3rd International Conference on Advanced Technologies for Signal and image processing, ATSIP 2017

作者： Brahim, Abdelbasset Khedher, Laila Gorriz, Juan Manuel Ramirez, Javier Toumi, Hechmi Lespessailles, Eric Jennane, Rachid Hassouni, Mohammed El Dept. of Signal Theory Networking and Communications University of Granada Spain New Hospital of Orléans Rheumatology Department Orléans45032 France University of Orléans I3MTO Laboratory EA 4708 Orléans45067 France LRIT URAC 29 Faculty of Sciences Mohammed v University in Rabat Morocco

ISBN: (纸本)9781538605516

This paper presents a fully automatic computer aided diagnosis (CAD) system for the classification of Parkinson's disease (PD) by means of functional imaging, such as, the single photon emission computed tomography (SPECT). Firstly, in the preprocessing step, Histogram Equalization (HE) is applied on all the 3D SPECT image data. Secondly, HE is applied on the so-called non-specific (NS) region, as reference region. Then, the normalized images are modelled using Principal Component Analysis (PCA). Thus, for each subject, its scan is represented by a few components. These resulting features will be used for the classification task. The proposed system has been tested on a 269 image database from the Parkinson Progression Markers Initiative (PPMI). Classification rate of 92.63% is achieved, which has proved the robustness and the productiveness of the proposed CAD system in PD pattern detection. In addition, the PCA based feature extraction approach significantly improves the baseline Voxels-as-Features (VAF) method, used as an approximation of the visual analysis. Finally, the proposed aided diagnosis system outperforms several other recently developed PD CAD systems. © 2017 ieee.

关键词： Principal component analysis

来源：评论

学校读者我要写书评

暂无评论

Automatically Diagnosing HER2 Amplification Status for Breast Cancer Patients Using Large FISH images 25

Automatically Diagnosing HER2 Amplification Status for Breas...

引用

25th Signal processing and communications Applications Conference (SIU)

作者： Razavi, Salar Hatipoglu, Gokhan Yalcin, Hulya Istanbul Tech Univ Elect & Telecommun Engn Dept Visual Intelligence Lab Istanbul Turkey Virasoft Yazilim Istanbul Turkey

ISBN: (纸本)9781509064946

Fluorescence in situ hybridization (FISH) is a technique that prepares acceptable results for molecular imaging biomarkers to precisely and dependably detect and diagnose disorders which are sign of cancers. Since contemporary manual FISH signal analysis is low-effective and inconsistent, it is an attractive research area to develop automated FISH image scanning systems and computer-aided diagnosis (CAD) schemes. The gene expression of epidermal growth factor receptors 2 (HER2) is highly related to results of patients with probable breast cancer. Although FISH technology outperforms other methods, yet it has so many drawbacks. Traditional approaches on FISH analysis are performed manually by clinician. This lets the results are highly dependent to human eye. Also FISH test colors constitutes of dark blue and black regions, it is reasonable that human eye will fail to distinguish between colors. Therefore, the success of computer vision algorithms compared to human eye in analyzing gene expression rate in FISH images will be discussed in this study. Another objective of this study is to expand a CAD program to evaluate HER2 status using acquired images that have MIRAX format. Different large FISH images were chosen for this study from pathology laboratory from Acibadem Maslak hospital. The proposed CAD scheme first applies pre-processing median and gaussian filters. An adaptive thresholding method followed by a watershed segmentation algorithm is employed to segment cells of interest areas. Furthermore, analyzable cells are found and non detectable cells because of cell overlapping or image staining are discarded. The scheme then splits the detected analyzable region of interest into two red and green color spaces which is also followed by application of a scanning algorithm to detect the CEP17 green and HER2/neu red FISH signals separately. Finally, the proposed method calculates the ratio between independent green and red FISH signals of all analyzable cells identi

关键词： Breast Cancer Medical diagnostic imaging Fluorescent in situ hybridization (FISH) image HER2 testing

来源：评论

学校读者我要写书评

暂无评论

Design of a Color Palette Based image Steganography Algorithm for Fractal images 2

Design of a Color Palette Based Image Steganography Algorith...

引用

2nd ieee International Conference on Wireless communications, Signal processing and Networking (WiSPNET)

作者： Patel, Hetal N. Khant, Dipanjali R. Prajapati, Darshana AD Patel Inst Technol Elect & Commun Dept Anand Gujarat India M&B Patel Womens Inst Engn Math Dept Anand Gujarat India

ISBN: (纸本)9781509044429

image steganography is a smart technique of embedding the secret information into the cover image without any visual loss. As fractal image represents self-similar patterns, more number of bits can be embedded. A color palette based image steganography algorithm for the iterated Julia-set fractal image is proposed. The color palette is created and sorted based on the illumination values of the pixels. The palette is being scanned for embedding the secret bit, and the palette index is modified based on the secret bit's value. For improving the robustness of the algorithm, a random pixel selection technique is suggested and implemented effectively. The proposed algorithm gives maximum peak signal to noise ratio (PSNR), up to the number 61, and Normalized Correlation (NC) of 0.999 for approximately 50 images.

关键词： Steganography fractals palette based images Julia set NC PSNR

来源：评论

学校读者我要写书评

暂无评论

A spectral graph based image coding method

A spectral graph based image coding method

引用

ieee Signal processing and communications Applications (SIU)

作者： Ali Can Yağan Mehmet Tankut Özgen Elektrik-Elektronik Mühendisliği Bölümü Anadolu Üniversitesi Eskişehir Türkiye

In this paper, a spectral graph based image coding method is proposed. In the proposed method, only the smoothing parameter in the graph adjacency matrix, graph Fourier transform (GFT) coefficients kept after hard thresholding and column indices of eigenvectors corresponding to kept coefficients are sent to the decoder side. It is advantageous in that this coding process is performed by sending much less information as compared to other graph based methods. Our results indicate that our proposed method enables image compression without deteriorating the visual quality by using very small numbers of GFT coefficients.

关键词： image coding Fourier transforms Signal processing image denoising Information processing Transform coding

来源：评论

学校读者我要写书评

暂无评论

Spatial domain multi-focus image fusion

Spatial domain multi-focus image fusion

引用

ieee Signal processing and communications Applications (SIU)

作者： Ahmet Nusret Toprak Veysel Aslantaş Bilgisayar Mühendisliği Bölümü Erciyes Üniversitesi Kayseri Türkiye

ISBN: (纸本)9781509064953

One of the main problem of the optical imaging systems is limited depth of field which prevent from obtaining an all-in-focus image of the environment. This paper proposes a novel pixel-based multi-focus image fusion method making use of a series of multi-focus images to obtain an all-in-focus image. The proposed method, firstly, generate a focus map over the edges. Then, a full focus map is obtained by propagating the focus values at edge locations to the entire image. The proposed method and the state-of-the-art methods are compared in terms of both quantitative and visual evaluation. Based on the results, the proposed method outperforms the other ones.

关键词： image fusion Laplace equations Discrete cosine transforms image edge detection visualization Estimation Optics

来源：评论

学校读者我要写书评

暂无评论

Pan-sharpening based on sparse representation

Pan-sharpening based on sparse representation

引用

ieee Signal processing and communications Applications (SIU)

作者： Selen Ayas Esra Tunç Görmüs Murat Ekinci Bilgisayar Mühendisliği Bölümü Karadeniz Teknik Üniversitesi Trabzon Türkiye Harita Mühendisliği Bölümü Karadeniz Teknik Üniversitesi Trabzon Türkiye

Pan-sharpening in remote sensing aims to obtain a multispectral image with high spectral and spatial information by combining spectral information of a low resolution multispectral image and spatial information of a high resolution panchromatic image. In this paper, a pan-sharpening method based on sparse representation was proposed. Firstly, a dictionary was learned from the multispectral image patches. Then, sparse coefficients of low resolution multispectral image and high resolution panchromatic image were calculated. Thus, pan-sharpened multispectral image was obtained by using these sparse coefficients and dictionary. The IKONOS satellite image was used to test the proposed method. The quantitative and visual results demonstrate the effectiveness of the proposed method in pan-sharpening of the remote sensing images.

关键词： Remote sensing Spatial resolution Dictionaries Satellites image fusion Principal component analysis

来源：评论

学校读者我要写书评

暂无评论

Adaptive Small Target Detection Based on Least Squares and Human visual System

Adaptive Small Target Detection Based on Least Squares and H...

引用

2017 17th ieee International Conference on Communication Technology (ICCT 2017)

作者： Linna Yang Bei Jia Qiang Liu Xi'an Communications Institute

The detection of small target in sequential images is an importance part of infrared technology. Sequential images with heavy cutter is vulnerable to influences such as mismatch and stray light of the sun, which can lower the detection ***, adaptive small target detection based on least squares and human visual system is proposed in this ***, weighted coefficient for each frame and the minimum residual image are calculated by least squares algorithm. Then a contrast value is weighted to residual image according to the principle of extensive human visual system. Experimental evaluation results show that, the proposed method has better adaptability, when sequential images with heavy clutter is influenced by mismatch or stray light of the sun. And compared with median filtering, the proposed method has higher detection rate and lower false alarm rate.

关键词： small target detection least squares human visual system adaptive image processing

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：