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Recurrent Multi-connection Fusion Network for Single image Deraining

Recurrent Multi-connection Fusion Network for Single Image D...

引用

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

作者： Liu, Yuetong Zhang, Rui Zhang, Yunfeng Ning, Yang Yao, Xunxiang Han, Huijian Shandong Univ Finance & Econ Dept Comp Sci & Technol Jinan Peoples R China Shandong Jianzhu Univ Dept Comp Sci & Technol Jinan Peoples R China

ISBN: (纸本)9781665475921

Single image deraining is an important problem in many computer vision tasks because rain streaks can severely degrade the image quality. Recently, deep convolution neural network (CNN) based single image deraining methods have been developed with encouraging performance. However, most of these algorithms are designed by stacking convolutional layers, which encounter obstacles in learning abstract feature representation effectively and can only obtain limited features in the local region. In this paper, we propose a recurrent multi-connection fusion network (RMCFN) to remove rain streaks from single images. Specifically, the RMCFN employs two key components and multiple connections to fully utilize and transfer features. Firstly, we use a multi-scale fusion memory block (MFMB) to exploit multi-scale features and obtain long-range dependencies, which is beneficial to feed useful information to a later stage. Moreover, to efficiently capture the informative features on the transmission, we fuse the features of different levels and employ a multi-connection manner to use the information within and between stages. Finally, we develop a dual attention enhancement block (DAEB) to explore the valuable channel and spatial components and only pass further useful features. Extensive experiments verify the superiority of our method in visual effect and quantitative results compared to the state-of-the-arts.

关键词： Single image deraining multi-connection multi-scale fusion memory block dual attentive enhancement block

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MEASURING ORDERLINESS BASED ON SOCIAL FORCE MODEL IN COLLECTIVE MOTIONS

MEASURING ORDERLINESS BASED ON SOCIAL FORCE MODEL IN COLLECT...

引用

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

作者： Bai, Yu Xu, Yi Yang, Xiaokang Yan, Qing Shanghai Jiao Tong Univ Shanghai Key Labs Digital Media Proc & Commun Inst Image Commun & Informat Proc Shanghai 200240 Peoples R China

ISBN: (纸本)9781479902880

Collective motions, one of the coordinated behaviors in crowd system, widely exist in nature. Orderliness characterizes how well an individual will move smoothly and consistently with his neighbors in collective motions. It is still an open problem in computer vision. In this paper, we propose an orderliness descriptor based on correlation of interactive social force between individuals. In order to include the force correlation between two individuals in a distance, we propose a Social Force Correlation Propagation algorithm to calculate orderliness of every individual effectively and efficiently. We validate the effectiveness of the proposed orderliness descriptor on synthetic simulation. Experimental results on challenging videos of real scene crowds demonstrate that orderliness descriptor can perceive motion with low smoothness and locate disorder.

关键词： orderliness collectiveness direction of social force-field Social Force Correlation Propagation(SFCP) algorithm

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Noise-aided dynamic range compression using selective processing in a statistics-dependent stochastic resonance model

Noise-aided dynamic range compression using selective proces...

引用

IEEE visual communications and image processing (VCIP) conference

作者： Chouhan, Rajlaxmi Biswas, P. K. Indian Inst Technol Kharagpur W Bengal India

ISBN: (纸本)9781467373142

This paper presents a noise-aided dynamic range compression algorithm using a stochastic resonance model in spatial domain. An input statistics-dependent stochastic resonance (ISSR) model, that is designed for contrast enhancement of dark images, is used here to enhance an image with both bright and dark areas. The underilluminated regions of such an image are selected as the De Vries Rose region from a human visual system-based segmentation algorithm, and then processed using the ISSR model. It is observed that by semi-adaptively changing the processing parameters with iteration, the processed dark regions and the unprocessed bright regions of an image smoothly merge producing a quality of dynamic range compression in the image. The performance of the proposed algorithm is characterized using image quality index for tone-mapped images and a no-reference perceptual quality measure. Results and comparative analysis suggest notable performance of the proposed algorithm with fewer iteration.

关键词： dynamic stochastic resonance dynamic range compression selective-processing De Vries Rose

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An Improved Method of SSIM Based on visual Regions of Interest 5

An Improved Method of SSIM Based on Visual Regions of Intere...

引用

IEEE International conference on Signal processing, communications and Computing ICSPCC 2015

作者： Yan, Fu Min, Cao Xian Univ Sci & Technol Coll Comp Sci & Technol Xian 710054 Shaanxi Peoples R China

ISBN: (纸本)9781479989201

image quality assessment is always a hot research topic in the field of image processing. Structural Similarity image Measurement (SSIM) is an image quality assessment algorithm with the advantages of simplicity, high efficiency and better consistence. Its evaluation of performance is better than PNSR and MSE. However, it often fails when assessing badly distorted or cross distorted images. In this paper, we proposed a new method on the improved method of SSIM and the method of based on visual region of interest combination. This improved method of SSIM takes the histogram concentration as the main structural information of an image. It used histogram concentration to calculate the fuzzy degree of the image. Finally, we can obtain the structure similarity value of the image. The experiment results show that, compared with the SSIM model, the proposed RoiHSSIM model is more close to the human visual system and can access the quality of fault images more precisely.

关键词： image quality assessment visual regions of interest structural similarity histogram concentration

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Geometrical image compression with bandelets

Geometrical image compression with bandelets

引用

conference on visual communications and image processing 2003

作者： Le Pennec, E Mallat, S Ecole Polytech CMAP F-91128 Palaiseau France

ISBN: (纸本)0819450235

This paper introduces a new class of bases, called bandelet bases, which decompose the image along multiscale vectors that are elongated in the direction of a geometric flow. This geometric flow indicates the direction in which the image grey levels have regular variations. The image decomposition in a bandelet basis is implemented with a fast subband filtering algorithm. Bandelet bases lead to optimal approximation rates for geometrically regular images. For image compression, the bandelet basis geometry is optimized with a fast best basis algorithm. Comparisons are made for image compression with wavelet bases.

关键词： Wavelets image compression image segmentation Distortion image filtering Curium image processing algorithms and systems image processing Quantization Wavelet transforms

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Color data visualization for color imaging

Color data visualization for color imaging

引用

conference on visual communications and image processing 2003

作者： Trémeau, A Colantoni, P Univ St Etienne Lab LIGIV EA 3070 F-42000 St Etienne France

ISBN: (纸本)0819450235

There are several ways to display color data of a color image. In this paper we present different methods that we have developed in order to understand and to analyze color image information. These methods use traditional 2D and 3D visualization model associated with specific color transformation. We also introduce a new multidimensional visualization model usefull to analyse spatiocolorimetric data.

关键词： visualization 3D image processing RGB color model image visualization Colorimetry image processing 3D displays 3D visualizations Optical spheres image segmentation

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A Fast FIC using visual-Based CPSO 3

A Fast FIC using Visual-Based CPSO

引用

3rd International conference on communications and Signal processing (ICCSP)

作者： Saravanan, S. Mohan, V. Venkataramani, Y. Saranathan Coll Engn Dept Commun Syst Tiruchirappalli 620012 Tamil Nadu India Saranathan Coll Engn Dept Elect & Commun Engn Tiruchirappalli 620012 Tamil Nadu India Saranathan Coll Engn Dept Elect & Commun Engn Tiruchirappalli 620012 Tamil Nadu India

ISBN: (纸本)9781479933587

Fractal image Compression encodes the image at low bitrates with acceptable image quality but, the time taken for encoding is large in most of the proposals. In this paper, a Fast Search Strategy using visual-based Particle Swarm Optimization (CPSO) with Chaos searching is proposed to enhance the speed of fractal image encoding. The search for near best match utilizes the visual based optimization with k-restrictions and intuitive move. The evaluated suboptimum value is close to that of best match. Though the strategy is according to edge property it preserves better visual quality. Thus the CPSO-kI technique speeds up the fractal encoder by 128 times and preserves better image quality.

关键词： Fractal image Compression (FIC) Particle Swarm Optimization (CPSO) visual-based optimization and MSE

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visual transmission and analysis of graphic language based on image processing technology 2

Visual transmission and analysis of graphic language based o...

引用

2nd Asia-Pacific conference on communications Technology and Computer Science, ACCTCS 2022

作者： Wei, Li Chunli, Wu Changchun Humanities and Sciences College Jilin Province Changchun City130117 China

ISBN: (纸本)9781665400343

The application of computer technology has also brought many conveniences to people. As an important part of computer technology, the application of image processing technology in visual transmission system has created rich visual effects for people, and also brought about technical changes for visual transmission design. In this paper, a visual transmission and analysis method of graphic language based on image processing technology is proposed. Enhance the low-light image in HSV color space, optimize the visual transmission design of graphic language by combining tone mapping and color fusion technology, and realize the color separation design of graphic language under the visual transmission model. The simulation results show that the color balance of color separation design of graphic language with this method is better, the visual expression ability of the designed graphic language is stronger, and the image quality level of the pattern is higher. © 2022 IEEE.

关键词： Color

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Fast and robust algorithm for global motion estimation

Fast and robust algorithm for global motion estimation

引用

1997 conference on visual communications and image processing

作者： Wang, DM Wang, LM Communications Research Ctr. (Canada)

ISBN: (纸本)0819424358

Global motion estimation and compensation are important research issues in video compression. The main difficulty in global motion estimation resides in the disturbance of independently moving objects. The algorithm presented in this paper exploits global motion information not only from stationary objects and the image background, but also from independently moving objects. Simulation results show that the new algorithm is more robust to the disturbance of independently moving objects, and computationally faster than an algorithm based on least-square approximation.

关键词： motion estimation video coding motion analysis image processing

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Spatial Domain Multi-Focus image Fusion 25

Spatial Domain Multi-Focus Image Fusion

引用

25th Signal processing and communications Applications conference (SIU)

作者： Toprak, Ahmet Nusret Aslantas, Voysel Erciyes Univ Bilgisayar Muhendisligi Bolumu Kayseri Turkey

ISBN: (纸本)9781509064946

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： multi-focus image fusion defocus estimation

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