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LIGHT FIELD image: CODING WITH HYBRID SCAN ORDER

LIGHT FIELD IMAGE: CODING WITH HYBRID SCAN ORDER

引用

30th IEEE conference on visual communications and image processing (VCIP)

作者： Zhao, Shengyang Chen, Zhibo Yang, Kun Huang, Hongrui Univ Sci & Technol China CAS Key Lab Technol Geospatial Informat Proc & Ap Hefei 230027 Peoples R China

ISBN: (纸本)9781509053162

A Light field image contains shear amount of data as it keeps the full spatio-angular information of the real scene. In this paper we propose a light field image coding scheme based on the latest JEM coding technologies. We propose a novel hybrid scan order to rearrange subaperture images into an image sequence and verify its importance to coding performance of light field image format. The experiment on EPEE light field image dataset demonstrates that our scheme achieves 7.06 dB gain compared with directly encoding the image by the JPEG standard. With the QP set to 50, our scheme achieves an average compression ratio of 7107, and still provides larger PSNRs and better viewing experience than JPEG at a compression ratio of 100.

关键词： image compression light field subaperture image sequence JENI IPEG

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A Reduced-reference Quality Assessment Scheme for Blurred images

A Reduced-reference Quality Assessment Scheme for Blurred Im...

引用

30th IEEE conference on visual communications and image processing (VCIP)

作者： Han, Zongxi Zhai, Guangtao Liu, Yutao Gu, Ke Zhang, Xinfeng Shanghai Jiao Tong Univ Inst Image Commun & Informat Proc Shanghai Peoples R China Harbin Inst Technol Dept Comp Sci Harbin Peoples R China Nanyang Technol Univ Sch Comp Sci & Engn Singapore Singapore Nanyang Technol Univ Rapid Rich Object Search ROSE Lab Singapore Singapore

ISBN: (纸本)9781509053162

In this paper, we propose a reduced-reference scheme for evaluating the quality of blurred images under the theory of free-energy principle. Specifically, the free-energy principle indicates that the brain tries to account for the input image with an internal generative model and the discrepancy between the image and its model-explained version, which can be measured by free energy, is related to the image's perceptual quality. Accordingly, we define a visual distance between the blurred image and its original image in free energy to evaluate the quality of the blurred image. Therefore, the proposed quality scheme belongs to reduced-reference methods, which needs some information from the original image for quality assessment. Experimental results on public databases, LIVE, TID2013 and C-SIQ, demonstrate the proposed method works in high consistency with subjective assessment results and outperforms representative image quality assessment approaches.

关键词： image quality assessment image blurriness reduced-reference free energy sparse representation

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image and Video Dehazing using View-based Cluster Segmentation

Image and Video Dehazing using View-based Cluster Segmentati...

引用

30th IEEE conference on visual communications and image processing (VCIP)

作者： Yu, Feng Qing, Chunmei Xu, Xiangmin Cal, Bolun South China Univ Technol Sch Elect & Informat Engn Guangzhou Guangdong Peoples R China

ISBN: (纸本)9781509053162

To avoid distortion in sky regions and make the sky and white objects clear, in this paper we propose a new image and video dehazing method utilizing the view-based cluster segmentation. Firstly, GMM (Gaussian Mixture Model)is utilized to cluster the depth map based on the distant view to estimate the sky region and then the transmission estimation is modified to reduce distortion. Secondly, we present to use GMM based on Color Attenuation Prior to divide a single hazy image into K classifications, so that the atmospheric light estimation is refined to improve global contrast. Finally, online GMM cluster is applied to video dehazing. Extensive experimental results demonstrate that the proposed algorithm can have superior haze removing and color balancing capabilities.

关键词： Terms image dehazing video dehazing GMM dark channel prior view-based cluster segmentation

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Using Independent Component Analysis and Binocular Combination for Stereoscopic image Quality Assessment

Using Independent Component Analysis and Binocular Combinati...

引用

30th IEEE conference on visual communications and image processing (VCIP)

作者： Geng, Xianqiu Shen, Liquan An, Ping Liu, Zhi Shanghai Univ Sch Commun & Informat Engn Shanghai 200072 Peoples R China

ISBN: (纸本)9781509053162

In this paper, a full reference stereoscopic image quality assessment (FR-SIQA) method is proposed based on independent component analysis (ICA) and binocular combination. image features that reflect the responds of simple cells in the cortex are extracted by ICA-based algorithm. Both image feature similarity (IFS) and local luminance consistency (LLC) are calculated to measure the structure and brightness distortions, respectively. To simulate the binocular fusion properties, the energy of image features and the global relative luminance information are selected as the basic of binocular combination to fuse the right-left IFS and LLC into a final index. Experimental results demonstrate that the proposed algorithm achieves high consistency with subjective assessment on two public available 3D image quality assessment databases.

关键词： stereoscopic image quality assessment independent component analysis binocular combination image feature similarity local luminance consistency

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No-Reference image Quality Assessment Based on Local Region Statistics

No-Reference Image Quality Assessment Based on Local Region ...

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30th IEEE conference on visual communications and image processing (VCIP)

作者： Li, Qiaohong Lin, Weisi Fang, Yuming Zhang, Xinfeng Zhang, Yabin Nanyang Technol Univ Sch Comp Sci & Engn Singapore Singapore Nanyang Technol Univ Rapid Rich Object Search ROSE Lab Singapore Singapore Jiangxi Univ Finance & Econ Sch Informat Technol Nanchang Jiangxi Peoples R China

ISBN: (纸本)9781509053162

In this paper, we propose an effective no-reference image quality assessment (IQA) method based on local region statistics (NRLRS). The proposed method is built on the hypothesis that image distortions may alter the local region statistics which can be well characterized by the inter-pixel relationship. Hence, by extracting perceptual features that describe the inter-pixel patterns of a distorted image, we can effectively quantify the impact of image degradation. For this purpose, the perceptual gray-level differences between neighboring pixels are extracted and a Gaussian Mixture Model (GMM) codebook is constructed as the generative model of extracted features. The Fisher vector representation is then derived to describe image as their derivations from the GMM model. Finally, partial least square regression is used to map the Fisher encodings to quality scores. Experimental results indicate that the proposed method achieves better performance in quality prediction as compared to relevant full-reference and no-reference IQA methods.

关键词： Gray-level differences image quality assessment no-reference partial least square

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visual Domain Adaptation using Weighted Subspace Alignment

Visual Domain Adaptation using Weighted Subspace Alignment

引用

30th IEEE conference on visual communications and image processing (VCIP)

作者： Chen, Shuo Zhou, Fei Liao, Qingmin Tsinghua Univ Grad Sch Shenzhen Dept Elect Engn Visual Informat PRoecssing LabShenzhen Key Lab S Shenzhen 518055 Peoples R China

ISBN: (纸本)9781509053162

Domain Adaptation (DA) has attracted a lot of attention in recent years. DA aims at overcoming the covariate shift in dataset and aligning multiple existing but partially related data collections. In this paper, we propose a new DA algorithm which aligns the weighted subspaces generated from source samples and target samples. The weighted subspaces of source samples are generated using weighted Principal Component Analysis (PCA). Specifically, the source samples closer to the target domain are given higher weights during the construction of subspaces, which is definitely beneficial for building an adaptable classifier. Subsequently, the weighted subspaces of source samples and the subspaces of target samples are aligned to achieve domain adaptation. Experimental results on standard datasets demonstrate the advantages of our approach over state-of-the-art DA approaches.

关键词： Domain adaptation Source domain Target domain Representation learning image classification

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Research and Implementation of Spinal MRI image Segmentation Algorithm 2

Research and Implementation of Spinal MRI Image Segmentation...

引用

2nd IEEE International conference on Computer and communications (ICCC)

作者： Li, Shuai Du, Yue Liu, Hao-chun Wuhan Univ Technol Sch Informat Engn Wuhan Hubei Peoples R China Wuhan Univ Technol Key Lab Fiber Opt Sensing Technol & Informat Proc Wuhan Hubei Peoples R China

ISBN: (纸本)9781467390262

Using the method of image visual processing to assist clinical diagnosis is an important technology of medicine field, because of this, gradually become a hot research topic in recent years. Spine MRI image contains important information of spine and plays an active role in diagnosis, therefore, there must be a robust method for the image segmentation and extract the useful information, this is also helpful for the subsequent 3D reconstruction. In this paper, we propose a fully automatic, unsupervised segmentation algorithm of intervertebral disc using an improved marker controlled watershed transformation which combines intention and prior shape information. Experimental results show that our algorithm can accurately extract the outline of intervertebral disc from normal spine and different degree of deformation of the spine. Obviously, this method is robust enough to deal with different shapes of disc.

关键词： intervertebral disc watershed transformation internal marker external marker

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Directions of Development of Intelligent Real Time Video Systems

Directions of Development of Intelligent Real Time Video Sys...

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IEEE International Scientific conference on RadioElectronics&Infocommunications (UkrMiCo)

作者： Boyun, V. VM Glushkov Inst Cybernet NASU Dept Intelligent Real Time Video Syst Kiev Ukraine

ISBN: (纸本)9781509044092

Two directions of development of intelligent real time video systems (technical vision systems) are considered in the report. First direction consists in increasing intellectuality of video systems at the cost of development of new information basis and dynamic models of video information perception processes, principles of control reading parameters of video information for reducing redundancy of video sequence representation and for adaptation them to the requirements of concrete task. Second direction is associated with development of new architectures for parallel perception and processing of information directly on a video sensor matrix, that excludes the need of detailed programming of sequential processes of reading, analog-to-digital conversion and processing of video information. Peculiarities of construction, mechanisms of attention and adaptation, specialization of neurons on the retinal layers and wide parallelism of information processing on neuron network, which take place in a human visual analyzer, are used as a prototype for both directions.

关键词： intelligent video systems real time information basis image perception and processing human visual analyzer intelligent perception neuron network parallelism

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High Bit-depth image Compression with Application to Seismic Data

High Bit-depth Image Compression with Application to Seismic...

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30th IEEE conference on visual communications and image processing (VCIP)

作者： Radosavljevic, Milos Xiong, Zixiang Lu, Ligang Vukobratovic, Dejan Univ Novi Sad Dept Power Elect & Comm Engn Novi Sad 21000 Serbia Texas A&M Univ Dept ECE College Stn TX 77843 USA Shell Int Explorat & Prod Inc Houston TX 77082 USA

ISBN: (纸本)9781509053162

Inspired by the high performance of High Efficiency Video Coding (HEVC), this paper reports our work on applying the ideas of HEVC intra coding to compression of high-depth images such as 32 bits per pixel (b/p) seismic data. Compared to a licensed commercial wavelet-based codec that is currently used for seismic image compression, which performs on par with JPEG-XR, our new image codec significantly improves the PSNR vs. compression ratio performance. The codec's subject performance is rated by geologist as highly satisfactory.

关键词： High bit-depth images seismic data compression HEVC intra coding binDCT JPEG-2000 and JPEG-XR

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Single image Super-Resolution via Projective Dictionary Learning with Anchored Neighborhood Regression

Single Image Super-Resolution via Projective Dictionary Lear...

引用

30th IEEE conference on visual communications and image processing (VCIP)

作者： Feng, Yihui Zhang, Yongbing Zhang, Yulun Shen, Tao Dai, Qionghai Tsinghua Univ Grad Sch Shenzhen Shenzhen 518055 Peoples R China Tsinghua Univ Dept Automat Beijing 100084 Peoples R China

ISBN: (纸本)9781509053162

We propose a novel single image super-resolution (SR) algorithm based on the projective dictionary pair learning with anchored neighborhood regression. Different from previous dictionary learning methods that aim to learn only a synthesis or an analysis dictionary, our method would learn both types of dictionaries jointly for regression to achieve image SR. We first cluster the training features into K clusters in order to learn synthesis and analysis dictionaries. Moreover, we learn the regressions with the training samples at training phase and use them on reconstruction stage. As shown in our experimental results, the proposed method obtains high-quality SR results quantitatively and visually against state-of-the-art methods.

关键词： Analysis dictionary anchored regression neighbor embedding super-resolution synthesis dictionary

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