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No-reference image quality assessment using statistics of sparse representations 11

No-reference image quality assessment using statistics of sp...

引用

11th International conference on Signal processing and communications, SPCOM 2016

作者： Manasa Priya, K.V.S.N.L. Appina, Balasubramanyam Channappayya, Sumohana Dept. of Electrical Engineering IIT Hyderabad Kandi502285 India

ISBN: (纸本)9781509017461

We present a no-reference (NR) image quality assessment (IQA) algorithm that is inspired by the representation of visual scenes in the primary visual cortex of the human visual system. Specifically, we use the sparse coding model of the area V1 to construct an overcomplete dictionary for sparsely representing pristine (undistorted) natural images. First, we empirically demonstrate that the distribution of the sparse representation coefficients of natural images have sharp peaks and heavy tails, and can therefore be modeled using a Univariate Generalized Gaussian Distribution (UGGD). We then show that the UGGD model parameters form good features for distortion estimation and formulate our no-reference IQA algorithm based on this observation. Subsequently, we find UGGD model parameters that are representative of the class of pristine natural images. This is achieved using a training set of undistorted natural images. The perceptual quality of a test image is then defined to be the likelihood of its sparse coefficients being generated from the pristine UGGD model. We show that the proposed algorithm correlates well with subjective evaluation over several standard image databases. Further, the proposed method allows us to construct a distortion map that has several useful applications like distortion localization, adaptive rate allocation etc. Finally and importantly, the proposed NR-IQA algorithm does not make use of any distortion information or subjective scores during the training process. © 2016 IEEE.

关键词： image coding

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A NOVEL BLOCK COMPRESSED SENSING BASED ON MATRIX PERMUTATION

A NOVEL BLOCK COMPRESSED SENSING BASED ON MATRIX PERMUTATION

引用

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

作者： Zhang, Bo Liu, Yulin Zhuang, Jie Yang, Lei Chongqing Commun Inst DSP Lab Chongqing 400035 Peoples R China UESTC Sch Commun & Informat Engn Chengdu 611731 Peoples R China

ISBN: (纸本)9781509053162

Block compressed sensing (BCS) has great potential in image coding application for its low storage requirement and low computational complexity. However, in order to improve the reconstructed-image quality by eliminating block effect, joint reconstruction is used in the existing BCS algorithms. Thus, the computational complexity of those algorithms at decoder side is still high. To achieve a low complexity at both encoder and decoder sides while simultaneously improve the reconstructed-image quality, a novel BCS strategy with matrix permutation is introduced and investigated, in which matrix permutation is used prior to sampling to reduce the maximum block sparsity level of the 2D signal. Simulation results show that the novel matrix-permutation-based BCS approach gets a significant gain of peak signal-to-noise ratio (PSNR) of the reconstructed-images compared with the existing BCS approaches.

关键词： Block compressed sensing matrix permutation image compression image coding

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Infrared and Visible image Fusion Based on Tetrolet Transform 1

引用

4th International conference on communications, Signal processing, and Systems (CSPS)

作者： Zhou, Xin Wang, Wei Tianjin Normal Univ Coll Elect & Commun Engn Tianjin Peoples R China

ISBN: (数字)9783662498316

ISBN: (纸本)9783662498316;9783662498293

Tetrolet transform has a better directionality of the structure and can express texture features of image precisely in dealing with high-dimensional signal. This paper introduces tetrolet transform into infrared and visible images for fusion to obtain a greater amount of information. First, the tetrolet transform was performed on the images which are fused to obtain high-pass and low-pass subbands on different scales. Then, a method based on local region gradient information was applied to low-pass subbands to get the low-pass fusion coefficients. Finally, the inverse tetrolet transform was utilized to obtain fused image. Using a variety of images to perform fusion experiment, all the results have shown that the fused image has more abundant features and more amount of information by using tetrolet transform. Compared with the traditional fusion algorithms, the fusion algorithm presented in this paper provides better subjective visual effect, and the standard deviation and entropy value would be somewhat increased.

关键词： Infrared image Visible image image fusion Tetrolet transform Multiscale directional analysis

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Adaptive Multiscale Block Compressed Sensing with Texture Information and Orientation Estimation 1

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4th International conference on communications, Signal processing, and Systems (CSPS)

作者： Gao, Donghong Wu, Haixia Gao, Wei Beijing Inst Technol Sch Informat & Elect Beijing Peoples R China

ISBN: (数字)9783662498316

ISBN: (纸本)9783662498316;9783662498293

The multiscale block compressed sensing algorithm gives an unreasonable resource distribution. This is because it deploys the same subrate within each decomposition level of a wavelet transform of an image. A novel adaptive sampling method applying the prior information is proposed to ameliorate the algorithm performance. Taking the importance differences of the wavelet coefficients of each decomposition level into account, texture information and directionality obtained by low frequency coefficients are combined. They are used to deploy the subrate adaptively into each image block of each subband of each level, realizing adaptive multiscale block compressed sensing. Experimental results reveal that, at each total subrate, the proposed algorithm significantly improves both the reconstruction quality and the visual effect with the maximum PSNR gain up to 1.38 dB.

关键词： Multiscale block compressed sensing Wavelet transform image entropy Orientation estimation Adaptive sampling

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LIGHT FIELD image: CODING WITH HYBRID SCAN ORDER

LIGHT FIELD IMAGE: CODING WITH HYBRID SCAN ORDER

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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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Fast and Simple Text Replacement Algorithm for Text-based Augmented Reality

Fast and Simple Text Replacement Algorithm for Text-based Au...

引用

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

作者： Koo, Hyung Il Kim, Beom Su Baik, Young Ki Cho, Nam Ik Ajou Univ Dept ECE Suwon South Korea Samsung Elect Ltd Seoul South Korea Qualcomm Res Korea Seoul South Korea Seoul Natl Univ INMC Dept ECE Seoul South Korea

ISBN: (纸本)9781509053162

In this paper, we present a novel text-based augmented reality system that performs optical character recognition on natural images and replaces the recognized texts with other informative contents. For the goal, we implement text detection and recognition functions, and develop an image augmentation algorithm for the realistic contents replacement. To be precise, we reconstruct background with a linear interpolation method and insert new contents to the reconstructed backgrounds. Finally, we get natural results by applying proper geometric distortions to them. In order to reduce visual artifacts caused by noisy boundaries, we also develop an optimal path selection method based on dynamic programming. Experimental results show that our method provides very natural results and runs in real-time even in mobile devices.

关键词： augment reality inpainting text-based augmented reality text detection scene text processing

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A Reduced-reference Quality Assessment Scheme for Blurred images

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

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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...

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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 ...

引用

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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