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检索条件"任意字段=Conference on Visual Communications and Image Processing 2001"

共 4134 条记录，以下是261-270 订阅

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UNIVERSAL AND LOW-COMPLEXITY QUANTIZER DESIGN FOR COMPRESSIVE SENSING image CODING

UNIVERSAL AND LOW-COMPLEXITY QUANTIZER DESIGN FOR COMPRESSIV...

引用

IEEE International conference on visual communications and image processing (VCIP)

作者： Li, Xiangwei Lan, Xuguang Yang, Meng Xue, Jianru Zheng, Nanning Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Xian 710049 Peoples R China

ISBN: (纸本)9781479902880

Compressive sensing imaging (CSI) is a new framework for image coding, which enables acquiring and compressing a scene simultaneously. The CS encoder shifts the bulk of the system complexity to the decoder efficiently. Ideally, implementation of CSI provides lossless compression in image coding. In this paper, we consider the lossy compression of the CS measurements in CSI system. We design a universal quantizer for the CS measurements of any input image. The proposed method firstly establishes a universal probability model for the CS measurements in advance, without knowing any information of the input image. Then a fast quantizer is designed based on this established model. Simulation result demonstrates that the proposed method has nearly optimal rate-distortion (R similar to D) performance, meanwhile, maintains a very low computational complexity at the CS encoder.

关键词： Compressive sensing imaging quantization Gaussian distribution image coding

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Healed Photomontage via Poisson Equation

Healed Photomontage via Poisson Equation

引用

21st Signal processing and communications Applications conference (SIU)

作者： Dizdaroglu, Bekir Karadeniz Tech Univ Bilgisayar Muhendisligi Bolumu Trabzon Turkey

ISBN: (纸本)9781467355636;9781467355629

In this study, a method is proposed for pasting a user selected and copied part of a region from the source image to the target image. Since the selected areas in the source and target images are not homogenous which means they contain texture information, most of the previous methods in the literature depending on the Poisson equation cause occurrence of adverse effects such as blur or color leakage in the processed region. The proposed method does not cause those artifacts in most cases but it makes an improvement and minimizes the artifacts. The visual results also prove that the method is promising.

关键词： Poisson equation photomontage image gradient vector field guided vector field

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Mobile image Search Using Multi-Query images 23

Mobile Image Search Using Multi-Query Images

引用

23nd Signal processing and communications Applications conference (SIU)

作者： Calisir, Fatih Bastan, Muhammet Gudukbay, Ugur Ulusoy, Ozgur Bilkent Univ Bilgisayar Muhendisligi Bolumu Ankara Turkey Turgut Ozal Univ Bilgisayar Muhendisligi Bolumu Ankara Turkey

ISBN: (纸本)9781467373869

Recent advances in mobile device technology have turned the mobile phones into powerfull devices with high resolution cameras and fast processing capabilities. Having more user interaction potential compared to regular PCs, mobile devices with cameras can enable richer content-based object image queries: the user can capture multiple images of the query object from different viewing angles and at different scales, thereby providing much more information about the object to improve the retrieval accuracy. The goal of this paper is to improve the mobile image retrieval performance using multiple query images. To this end, we use the well-known bag-of-visual-words approach to represent the images, and employ early and late fusion strategies to utilize the information in multiple query images. With extensive experiments on an object image dataset with a single object per image, we show that multi-image queries result in higher average precision performance than single image queries.

关键词： Mobile visual search content-based image search multi-query combining queries bag of visual words

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Improved PSP-Net Segmentation Network for Automatic Detection of Neovascularization in Color Fundus images

Improved PSP-Net Segmentation Network for Automatic Detectio...

引用

IEEE International conference on visual communications and image processing (VCIP)

作者： Liu, Qiuming Wang, Shen Dai, Yulan Zhang, Jintao Wang, Yichen Zhou, Ruoxuan Jiangxi Univ Sci & Tech Sch Software Engn Ganzhou Jiangxi Peoples R China Cent South Univ Sch Comp Sci & Engn Changsha Peoples R China Jiangxi Normal Univ Sch Comp Info Engn Nanchang Jiangxi Peoples R China Nanchang Key Lab Virtual Digital Factory & Cultur Nanchang Jiangxi Peoples R China

ISBN: (纸本)9781665475921

Proliferative Diabetic Retinopathy (PDR) is a serious retinal disease threatening diabetic patients. Intense retinal neovascularization in the retinal image is the most important clinical symptom of PDR, leading to visual distortion if not controlled. Accurate and timely detection of neovascularization from retinal images allows patients to receive adequate treatment to avoid further vision loss. In this work, we propose a retinal neovascularization automatic segmentation model based on improved Pyramid Scene Parsing Network (PSP-Net). To improve the accuracy of the model, we introduce the proposed channel attention module into the model. The network is evaluated with color fundus images from practice. Evaluation results show the network is superior to FCN, SegNet, U-Net and PSP-Net in accuracy and sensitivity. The model could achieve accuracy, sensitivity, specificity, precision and Jaccard similarity score of 0.9832, 0.9265, 0.9897, 0.9116 and 0.8501, respectively. This paper proves through plenty of experimental results that the network model is able to improve the accuracy of segmentation, relieve the workload of doctors, and is worthy of further clinical promotion.

关键词： fundus images image segmentation diabetic retinopath neovascularization deep learning

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EFFICIENT ACTIVE CONTOUR MODEL BASED ON VESE-CHAN MODEL AND SPLIT BREGMAN METHOD

EFFICIENT ACTIVE CONTOUR MODEL BASED ON VESE-CHAN MODEL AND ...

引用

IEEE International conference on visual communications and image processing (VCIP)

作者： Yang, Yunyun Zhao, Yi Harbin Inst Technol Shenzhen Grad Sch Shenzhen 518055 Peoples R China

ISBN: (纸本)9781479902880

In this paper we propose an efficient multi-phase image segmentation for color images based on the piecewise constant multi-phase Vese-Chan model and the split Bregman method. The proposed model is first presented in a four-phase level set formulation and then extended to a multi-phase formulation. The four-phase and multi-phase energy functionals are defined and the corresponding minimization problems of the proposed active contour model are presented. The split Bregman method is applied to minimize the multi-phase energy functional efficiently. The proposed model has been applied to synthetic and real color images with promising results. The advantages of the proposed active contour model have been demonstrated by numerical results.

关键词： Active contour model multi-phase image segmentation split Bregman method level set method

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Multi-GRU Based Automated image Captioning for Smartphones 29

Multi-GRU Based Automated Image Captioning for Smartphones

引用

29th IEEE conference on Signal processing and communications Applications (SIU)

作者： Keskin, Rumeysa Moral, Ozge Taylan Kilic, Volkan Onan, Aytug Izmir Katip Celebi Univ Dept Elect & Elect Engn Izmir Turkey Izmir Katip Celebi Univ Dept Comp Engn Izmir Turkey

ISBN: (纸本)9781665436496

image captioning is the description of an image with natural language expressions using computer vision and natural language processing fields. Recent advances in hardware and processing power in smartphones lead the development of many image captioning applications. In this study, a novel automatic image captioning system based on the encoder-decoder approach that can be applied in smartphones is proposed. While high-level visual information is extracted with the ResNet152V2 convolutional neural network in the encoder part, the proposed decoder transforms the extracted visual information into natural expressions of the images. The proposed decoder with the multilayer gated recurrent unit structure allows generating more meaningful captions using the most relevant visual information. The proposed system has been evaluated using different performance metrics on the MSCOCO dataset and it outperforms the state-of-the-art approaches. The proposed system is also integrated with our custom-designed Android application, named IMECA, which generates captions in offline mode unlike similar applications. Thus, image captioning is intended to be practical for more people.

关键词： image captioning computer vision natural language processing Android application

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Enhancement of Color image Based on Tone-Preserving 8

Enhancement of Color Image Based on Tone-Preserving

引用

8th International conference on Wireless communications and Signal processing (WCSP)

作者： Yang, Ya'nan Wang, Xiaofan Liu, Feng Gan, Zongliang Nanjing Univ Posts & Telecommun Jiangsu Prov Key Lab Image Proc & Image Commun Nanjing 210003 Jiangsu Peoples R China Nanjing Univ Posts & Telecommun Minist Educ Key Lab Broadband Wireless Commun & Sensor Networ Nanjing 210003 Jiangsu Peoples R China

ISBN: (纸本)9781509028603

Since the lighting conditions in strong contrast regions between the light and dark cant be estimated accurately by traditional center/surround Retinex algorithm, the over-enhancement and color distortion may exist. In view of this, combining with the human visual characteristics, a color image enhancement algorithm based on tone-preserving was proposed. A determination function was added to the bilateral filter to estimate illuminance image more accurately and weaken over-enhancement. According to human visual masking effect, the improved gamma correction was utilized to correct the brightness of illumination image adaptively and the local contrast of reflection image obtained by division was enhanced based on local statistics. Besides, the final enhanced image was obtained by combining illumination image with reflection image, which can make image appear more natural. Compared with other similar algorithms from both subjective and objective aspects, the results show that this method being applied to low-contrast color image enhancement can not only improve image clarity, but reduce color distortion.

关键词： Retinex tone-preserving bilateral filter masking effect local contrast

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Compact representation of images by edge adapted multiscale transforms

Compact representation of images by edge adapted multiscale ...

引用

International conference on image processing (ICIP 2001)

作者： Cohen, A Matei, B Univ Paris 06 Anal Numer Lab F-75013 Paris France

ISBN: (纸本)0780367251

We introduce new multiscale representations for images which incorporate a specific geometric treatment of edges. The associated transforms are inherently nonlinear and non tensor product in contrast to classical wavelet basis decompositions over which they exhibit visual improvement in terms of compression. This approach can be viewed as a bridge between edge detection and the nonlinear multiresolution representations of Ami Harten.

关键词： image processing

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Fully Neural Network Mode Based Intra Prediction of Variable Block Size

Fully Neural Network Mode Based Intra Prediction of Variable...

引用

IEEE International conference on visual communications and image processing (VCIP)

作者： Sun, Heming Yu, Lu Katto, Jiro Waseda Univ Waseda Res Inst Sci & Engn Tokyo Japan JST PRESTO 4-1-8 Honcho Kawaguchi Saitama Japan Zhejiang Univ Inst Informat & Commun Engn Hangzhou Peoples R China Waseda Univ Dept Comp Sci & Commun Engn Tokyo Japan

ISBN: (纸本)9781728180687

Intra prediction is an essential component in the image coding. This paper gives an intra prediction framework completely based on neural network modes (NM). Each NM can be regarded as a regression from the neighboring reference blocks to the current coding block. (1) For variable block size, we utilize different network structures. For small blocks 4x4 and 8x8, fully connected networks are used, while for large blocks 16x16 and 32x32, convolutional neural networks are exploited. (2) For each prediction mode, we develop a specific pre-trained network to boost the regression accuracy. When integrating into HEVC test model, we can save 3.55%, 3.03% and 3.27% BD-rate for Y, U, V components compared with the anchor. As far as we know, this is the first work to explore a fully NM based framework for intra prediction, and we reach a better coding gain with a lower complexity compared with the previous work.

关键词： Intra prediction image compression deep learning fully connected layer convolutional neural network

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An unsupervised segmentation algorithm based on an iterative spectral dissimilarity measure for hyperspectral imagery

An unsupervised segmentation algorithm based on an iterative...

引用

conference on visual communications and image processing 2001

作者： Kwon, H Der, SZ Nasrabadi, NM USA Res Lab Adelphi MD 20783 USA

ISBN: (纸本)0819439886

We present an adaptive unsupervised segmentation technique, in which spectral features are obtained and processed without a priori knowledge of the spectral characteristics. The proposed technique is based on an iterative method, in which segmentation at a given iteration depends closely on the segmentation results at the previous iteration. The hyperspectral images are first coarsely segmented and then the segmentation is successively refined via an iterative spectral dissimilarity measure. The algorithm also provides reduced computational complexity and improved segmentation performance. The algorithm consists of (i) an initial segmentation based on a fixed spectral dissimilarity measure and the k-means algorithm, and (ii) subsequent adaptive segmentation based on an iterative spectral dissimilarity measure over a local region whose size is reduced progressively. The iterative use of a local spectral dissimilarity measure provided a set of values that can discriminate among different materials. The proposed unsupervised segmentation technique proved to be superior to other unsupervised algorithms, especially when a large number of different materials are mixed in complex hyperspectral scenes.

关键词： multispectral processing unsupervised segmentation hyperspectral imagery adaptive segmentation

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