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image Resolution Enhancement by Using Interpolation Followed by Iterative Back Projection

Image Resolution Enhancement by Using Interpolation Followed...

引用

21st Signal processing and communications Applications conference (SIU)

作者： Rasti, Pejman Demirel, Hasan Anbarjafari, Gholamreza Dogu Akdeniz Univ Elekt & Elekt Muhendisligi Bolumu Gazimagusa Cyprus Uluslararasl Kibras Univ Elekt & Elekt Muhendisligi Bolumu Nicosia Cyprus

ISBN: (纸本)9781467355636;9781467355629

In this paper, we propose a new super resolution technique based on the interpolation followed by registering them using iterative back projection (IBP). Low resolution images are being interpolated and then the interpolated images are being registered in order to generate a sharper high resolution image. The proposed technique has been tested on Lena, Elaine, Pepper, and Baboon. The quantitative peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) results as weil as the visual results show the superiority of the proposed technique over the conventional and state-of-art image super resolution techniques. For Lena's image, the PSNR is 6.52 dB high er than the bicubic interpolation.

关键词： Super resolution Iterative Back Projection image Registeration

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CNN-Based Post-processing Filter for Video Compression with Multi-Scale Feature Representation

CNN-Based Post-Processing Filter for Video Compression with ...

引用

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

作者： Qi, Zhanyuan Jung, Cheolkon Liu, Yang Li, Ming Xidian Univ Sch Elect Engn Xian Peoples R China OPPO Xian Peoples R China

ISBN: (纸本)9781665475921

In this paper, we propose a convolutional neural network (CNN)-based post-processing filter for video compression with multi-scale feature representation. The discrete wavelet transform (DWT) decomposes an image into multi-frequency and multi-directional sub-bands, and can figure out artifacts caused by video compression with multi-scale feature representation. Thus, we combine DWT with CNN and construct two sub-networks: Step-like sub-band network (SLSB) and mixed enhancement network (ME). SLSB takes the wavelet subbands as input, and feeds them into the Res2Net group (R2NG) from high frequency to low frequency. R2NG consists of Res2Net modules and adopts spatial and channel attentions to adaptively enhance features. We combine the high frequency sub-band output with the low frequency sub-band in R2NG to capture multi-scale features. ME uses mixed convolution composed of dilated convolution and standard convolution as the basic block to expand the receptive field without blind spots in dilated convolution and further improve the reconstruction quality. Experimental results demonstrate that the proposed CNN filter achieves average 2.13 %, 2.63 %, 2.99 %, 4.8 %, 3.72 % and 4.5 % BD-rate reductions over VTM 11.0-NNVC anchor for Y channel on A1, A2, B, C, D and E classes of the common test conditions (CTC) in AI, RA and LDP configurations, respectively.

关键词： Convolutional neural network attention mechanism compressed video restoration dilated convolution wavelet

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Adaptive multiscale image denoising using neural networks

Adaptive multiscale image denoising using neural networks

引用

International conference on Signal processing and communications (SPCOM)

作者： Srinivasan, M Annadurai, S Anna Univ Govt Coll Technol Coimbatore Tamil Nadu India

ISBN: (纸本)0780386744

An image is often corrupted by additive gaussian noise during its acquisition and transmission. Denoising has to be performed on these images to retain the signal and to suppress the noise. Denoising can be performed by various methods like thresholding, filtering etc. But these methods did not consider the local space scale information of the image. Here a new type of neural network is constructed for noise reduction, where the space scale information of the image is considered. This method gives a good numerical results and also better visual effects. Keywords: Denoising,Discrete Wavelet Transform, Continuous soft thresholding, Least Mean Square rule.

关键词： denoising discrete wavelet transform continuous soft thresholding Least mean square rule

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A Comparison of Inpainting Techniques in image Reanimation 26

A Comparison of Inpainting Techniques in Image Reanimation

引用

26th IEEE Signal processing and communications Applications conference (SIU)

作者： Boncu, Ece Selin Ozkan, Savas Akar, Gozde Bozdagi Orta Dogu Tekn Univ Elekt Elekt Muhendisligi Bolumu Ankara Turkey

ISBN: (纸本)9781538615010

Inpainting applications include object removal on images and videos, crack filling, error concealment, texture synthesis, where in this paper, its usage for image coherence and perspective emphasis on video frames in 2D image-to-video conversion system is analysed. Besides, the performance of different techniques in object removal and image reconstruction is compared using visual experiments and quality metrics.

关键词： inpainting depth emphasis image reanimation

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D-mago: A Novel visual Entity for Storing Emotional Feeling with visual Imprint

<i>D</i>-<i>mago</i>: A Novel Visual Entity for Storing Emot...

引用

IEEE visual communications and image processing conference

作者： Lee, Suk Kyu Bae, Mungyu Chung, Albert Yongjoon Kim, Hwangnam Korea Univ Sch Elect Engn Seoul South Korea

ISBN: (纸本)9781479961399

Many users want to preserve their visual record of the moment that they want to commemorate. Nonetheless, it is still challenging to remember the actual emotional feeling for that moment even by looking at the old picture. There are methods such as to tag or hide the message within the image. However, tradeoffs exist by attaching additional data for the former method and the quality of the image is degraded for the latter one. It is difficult to avoid these two tradeoffs. In this paper, we propose D-mago to preserve the moment to remember as an image, which is consists of the visual information and the emotional feeling without binding extra data or degrading the quality of the image. To further verify the benefit of our proposed algorithm, we conducted series of evaluation studies to see the effectiveness of the proposed scheme. The results indicate that D-mago overcomes the preceding tradeoffs by maintaining PSNR above 40 dB.

关键词： Steganography Digital watermarking image and text integration

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MRIQA: Subjective Method and Objective Model for Magnetic Resonance image Quality Assessment

MRIQA: Subjective Method and Objective Model for Magnetic Re...

引用

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

作者： Chen, Qi Liu, Fang Duan, Huiyu Wang, Yao Min, Xiongkuo Zhou, Yan Zhai, Guangtao Shanghai Jiao Tong Univ Inst Image Commun & Network Engn Shanghai Peoples R China Shanghai Jiao Tong Univ Sch Med Renji Hosp Dept Radiol Shanghai Peoples R China

ISBN: (纸本)9781665475921

Magnetic Resonance Imaging (MRI) is widely used for medical diagnosis, staging and follow-up of disease. However, MRI images may have artifacts due to various reasons such as patient movement or machine distortion, which may be unintentionally introduced during the procedure of medical image acquisition, processing, etc. These artifacts may affect the effectiveness of diagnosis or even cause false diagnosis. To solve this problem, we propose a general medical image quality assessment (MIQA) methodology, including subjective MIQA procedures and objective MIQA algorithms. We further apply this methodology to MRI images in this paper due to its widespread use in practical applications. We first establish a magnetic resonance imaging quality assessment (MRIQA) database, which contains 3809 MRI images. Then a subjective image quality assessment experiment is conducted by expert doctors according to the diagnostic value of these images, which split all MRI images into 1285 low quality images and 2524 high quality images. We then conduct a baseline deep learning experiment, and propose an attention based MIQANet model to automatically separate MRI images into high quality and low quality based on their diagnosis value. Our proposed method achieves a great quality assessment accuracy of 96.59%. The constructed MRIQA database and proposed MIQA model will be public available to further promote medical IQA research.

关键词： Medical image Quality Assessment Database Deep Learning

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A Dynamic Threshold System with DFT Compound Motion Analysis

A Dynamic Threshold System with DFT Compound Motion Analysis

引用

International conference on Signal processing and communications

作者： Al-Sudani, Asaad A. M. Al-Salih Univ Baghdad Dept Elect Engn Coll Engn Baghdad Iraq

ISBN: (纸本)9781424471379

This paper is concerned with investigating, experiencing, and validating a local adaptive threshold system with compound motion analysis. The motivation here is to analyze moving objects in outdoor/indoor video frames with respect to: movement detection, objects segmentation, features extraction besides DFT-based velocity computation. The underlying methodology exhibits a single correlation of the behavioral-mathematical model of the examined image sequences among identifying the image as time-varying functions applicable for processing through 2D Discrete Fourier Transform (DFT). The justification of this method has been revealed through output data, human visual inspection, histogramming;showing appreciable accuracy, lower level of noise, and shorter segmentation time in comparison with some available standard techniques. The horizon of applications of the presented method may involve security control, industry and traffic control, surveillance, and general civil and military fields.

关键词： 2D discrete Fourier transform behavioral-mathematical model compound motion analysis discrete Fourier transforms dynamic threshold system feature extraction features extraction histogram human visual inspection image motion analysis image segmentation image sequences image sequences indoor video frames industry control local adaptive threshold system movement detection object detection objects segmentation outdoor video frames security control surveillance traffic control velocity computation video signal processing

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Linear Regression-based Classifier For Audio visual Person Identification

Linear Regression-based Classifier For Audio Visual Person I...

引用

1st International conference on communications, Signal processing, and their Applications (ICCSPA)

作者： Alam, Mohammad Rafiqul Togneri, Roberto Sohel, Ferdous Bennamoun, Mohammed Naseem, Imran Univ Western Australia Sch Comp Sci & Software Engn Crawley WA 6009 Australia Univ Western Australia Sch Elect & Elect Engn Crawley WA 6009 Australia PAF Karachi Inst Econ & Technol Karachi 75190 Pakistan

ISBN: (纸本)9781467328210;9781467328203

This paper presents an audio visual (AV) person identification system using Linear Regression-based Classifier (LRC) for person identification. Class specific models are created by stacking q-dimensional speech and image vectors from the training data. The person identification task is considered a linear regression problem, i.e., a test (speech or image) feature vector is expressed as a linear combination of the (speech or image) model of the class it belongs to. The Euclidean distance between a test feature vector and the estimated response vectors for all the class specific models are used as matching scores. These matching scores from both modalities are normalized using the min-max score normalization technique and then combined using the the sum rule of fusion. The system was tested on 88 subjects from the AusTalk AV database. Experimental results show that the identification accuracy after AV fusion is higher compared to the identification accuracy of an individual modality.

关键词： audio databases audio-visual systems biometrics (access control) image classification minimax techniques personal information systems regression analysis speaker recognition visual databases

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Orthogonal Coded Multi-view Structured Light for Inter-view Interference Elimination

Orthogonal Coded Multi-view Structured Light for Inter-view ...

引用

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

作者： Sun, Zaichao Qian, Guochao Peng, Zhaoyu Dai, Weiju Sun, Dongjun Zhang, Gongyuan Zhang, Nongtao Xu, Jun Wang, Ren Li, Chunlin Yunnan Elect Power Grid Co Ltd Elect Power Res Inst Kunming Yunnan Peoples R China

ISBN: (纸本)9781728180687

Rapid 3D reconstruction of dynamic scenes is very useful in 3D object structure analysis, accident avoidance for UAV, and other visual applications. Against dynamic scenes, coded structured light methods have been proposed to obtain the depth information of an object in 3D world, and most of them are based on spatial codification. A brutal truth is that two or more cameras and projectors from different viewpoints are needed to measure the dynamic scene simultaneously for rapid 3D reconstruction. However, when two traditional patterns, especially the binaries, are mutually overlapped, interference between them arises to a new challenge to 3D reconstruction. Traditional patterns can hardly be separated from each other, which surely influence the quality of the 3D reconstruction. To eliminate the interference problem, we propose a scheme of orthogonal coded multi-view structured light systems, which can obtain accurate of depth maps for a scene. Besides, we also test the stability of the orthogonal patterns by establishing three different scenes and making a comparisons to traditional patterns. New state-of-the-art results can be obtained by our scheme in the experiments.

关键词： image reconstruction

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Automatically Inserting Ads into images 26

Automatically Inserting Ads into Images

引用

26th IEEE Signal processing and communications Applications conference (SIU)

作者： Citak, Erol Eseoglu, Mustafa Furkan Celik, Ibrahim Omer Disanli, Onur Kutluk, Sezer Arica, Nafiz Huawei Turkiye Ar Ge Merkezi Istanbul Turkey Bahcesehir Univ Bilgisayar Muhendisligi Bolumu Istanbul Turkey

ISBN: (纸本)9781538615010

In this study a new method is proposed for inserting advertisement visuals into images automatically and without disturbing the image content. In this method important areas are determined using deep learning based object, face and text detection, edge and saliency maps are obtained, and these information are used for the identification of the best location for inserting the advertisement visual. In order to select the best available advertisement visual from an advertisement pool shape and color features are utilized.

关键词： image processing advertisement insertion deep learning

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