检索结果-内蒙古大学图书馆

conference on applications of Digital image processing XLii

作者： Akyazi, Pinar Ebrahimi, Touradj Ecole Polytech Fed Lausanne Multimedia Signal Proc Grp MMSPG CH-1015 Lausanne Switzerland

ISBN: (数字)9781510629684

ISBN: (纸本)9781510629684

In this paper, two new end-to-end image compression architectures based on convolutional neural networks are presented. The proposed networks employ 2D wavelet decomposition as a preprocessing step before training and extract features for compression from wavelet coefficients. Training is performed end-to-end and multiple models operating at different rate points are generated by using a regularizer in the loss function. Results show that the proposed methods outperform JPEG compression, reduce blocking and blurring artifacts, and preserve more details in the images especially at low bitrates.

关键词： Learning-based image compression low-rate image compression deep convolutional neural networks discrete wavelet transform

来源：评论

学校读者我要写书评

暂无评论

image compression and enlargement algorithms

引用

International Journal of Circuits, Systems and signal processing 2021年 15卷 836-846页

作者： Burova, I.G. Dem’yanovich, Yu.K. Terekhov, A.N. Altynova, A.Yu. Satanovskiy, A.D. Babushkin, A.A. St. Petersburg State University 7/9 Universitetskaya nab St.Petersburg199034 Russia

In some cases, there are problems associated with the compression and enlargement of images. The use of splines is quite effective in some cases. In this paper, a new image compression algorithm is presented. The features of increasing the size of an image when using local polynomial or non-polynomial splines are considered. The main method for enlarging an image is based on the use of splines of the second and third order of approximation. Polynomial and trigonometric splines are considered. To speed up the process of enlarging the image, we used the parallelization techniques. © 2021, North Atlantic University Union NAUN. All rights reserved.

关键词： image compression

来源：评论

学校读者我要写书评

暂无评论

Analysis of deep learning architectures for turbulence mitigation in long-range imagery 2

Analysis of deep learning architectures for turbulence mitig...

引用

conference on Artificial Intelligence and Machine Learning in Defense applications ii

作者： Vint, David Di Caterina, Gaetano Soraghan, John J. Lamb, Robert A. Humphreys, David Univ Strathclyde Ctr Signal & Image Proc Glasgow Lanark Scotland Leonardo MW Ltd Airborne & Space Syst Div Edinburgh Midlothian Scotland

ISBN: (纸本)9781510639003

In long range imagery, the atmosphere along the line of sight can result in unwanted visual effects. Random variations in the refractive index of the air causes light to shift and distort. When captured by a camera, this randomly induced variation results in blurred and spatially distorted images. The removal of such effects is greatly desired. Many traditional methods are able to reduce the effects of turbulence within images, however they require complex optimisation procedures or have large computational complexity. The use of deep learning for image processing has now become commonplace, with neural networks being able to outperform traditional methods in many fields. This paper presents an evaluation of various deep learning architectures on the task of turbulence mitigation. The core disadvantage of deep learning is the dependence on a large quantity of relevant data. For the task of turbulence mitigation, real life data is difficult to obtain, as a clean undistorted image is not always obtainable. Turbulent images were therefore generated with the use of a turbulence simulator. This was able to accurately represent atmospheric conditions and apply the resulting spatial distortions onto clean images. This paper provides a comparison between current state of the art image reconstruction convolutional neural networks. Each network is trained on simulated turbulence data. They are then assessed on a series of test images. It is shown that the networks are unable to provide high quality output images. However, they are shown to be able to reduce the effects of spatial warping within the test images. This paper provides critical analysis into the effectiveness of the application of deep learning. It is shown that deep learning has potential in this field, and can be used to make further improvements in the future.

关键词： Turbulence Mitigation Deep Learning CNN Turbulence Simulation

来源：评论

学校读者我要写书评

暂无评论

image processing by Using Different Types of Discrete wavelet Transform 2nd

Image Processing by Using Different Types of Discrete Wavele...

引用

2nd International conference on Advanced Informatics for Computing Research (ICAICR)

作者： Thakral, Shaveta Manhas, Pratima Manav Rachna Int Inst Res & Studies ECE Dept FET Faridabad India

ISBN: (纸本)9789811331404;9789811331398

image processing is emerging research area which seeks attention in biomedical field. There are lots of image processing techniques which are not only useful in extracting useful information for analysis purpose but also saves computation time and memory space. Transformation is one such type of image processing technique. Examples of transform techniques are Hilbert transform, Fourier transform, Radon Transform, wavelet transform etc. Transform technique may be chosen based on its advantages, disadvantages and applications. The wavelet transform is a technique which assimilates the time and frequency domains and precisely popular as time-frequency representation of a non stationary signal. In this paper different types of Discrete wavelet transform is applied on an image. Comparative analysis of different wavelets such as Haar, Daubechies and symlet 2 is applied on image and different filters respond are plotted using MATLAB 15.

关键词： Pixel Discrete wavelet transform image Filters Stationary Reference

来源：评论

学校读者我要写书评

暂无评论

BLIND QUALITY ASSESSMENT FOR 3D-SYNTHESIZED imageS BY MEASURING GEOMETRIC DISTORTIONS AND image COMPLEXITY 44

BLIND QUALITY ASSESSMENT FOR 3D-SYNTHESIZED IMAGES BY MEASUR...

引用

44th IEEE International conference on Acoustics, Speech and signal processing (ICASSP)

作者： Wang, Guangcheng Wang, Zhongyuan Gu, Ke Xia, Zhifang Wuhan Univ Sch Comp Sci Natl Engn Res Ctr Multimedia Software Wuhan Hubei Peoples R China Beijing Univ Technol Fac Informat Technol Beijing Peoples R China State Informat Ctr PR China Beijing Peoples R China

ISBN: (纸本)9781479981311

Free viewpoint video (FVV), owing to its comprehensive applications in immersive entertainment, remote surveillance and distanced education, has received extensive attention and been regarded as a new important direction of video technology development. Depth image-based rendering (DIBR) technologies are employed to synthesize FVV images in the "blind" environment. Therefore, a real-time reliable blind quality assessment metric is urgently required. However, existing stste-of-art quality assessment methods are limited to estimate geometric distortions generated by DIBR. In this research, a novel blind quality metric, measuring Geometric Distortions and image Complexity (GDIC), is proposed for DIBR-synthesized images. Firstly, a DIBR-synthesized image is decomposed into wavelet subbands by using discrete wavelet transform. Then, we adopt canny operator to capture the edge of wavelet subbands and compute the edge similarity between low -frequency subband and high frequency subbands. The edge similarity is used to quantify geometric distortions in DIBR-synthesized images. Secondly, a hybrid filter combining the autoregressive and bilateral filter is adopted to compute image complexity. Finally, the overall quality score is calculated by normalizing geometric distortions via image complexity. Experiments show that our proposed GDIC is superior to prevailing image quality assessment metrics, which were intended for natural and DIBR-synthesized images.

关键词： Depth image-based rendering image quality assessment blind

来源：评论

学校读者我要写书评

暂无评论

image Denoising Techniques: A Brief Survey 4th

引用

4th International conference on Harmony Search, Soft Computing and applications (ICHSA)

作者： Singh, Lokesh Janghel, Rekhram Natl Inst Technol Raipur Chhattisgarh India

ISBN: (纸本)9789811307614;9789811307607

In digital image processing, noise suppression from the original signal is still considered as biggest challenge till today. image denoising refers to the process in which it evaluates the unknown signal from the available noisy signal. Several algorithms are existing, which are proposed by other authors for denoising of an image like Discrete Cosine Transform (DCT), Discrete wavelet Transform (DWT), etc. This paper contributes itswork by discussing the significant work done in the area of image denoising along with advantages and disadvantages. After a brief discussion, classification of image denoising techniques is explained. A comparative analysis of various image denoising methods is also performed, which will help researchers in the image denoising area. The objective of this review paper is to provide functional knowledge of image denoising methods in a nutshell for applications using images to provide an ease for selecting the ideal strategy according to the necessity.

关键词： image Denoising Discrete Cosine Transform Discrete wavelet Transform

来源：评论

学校读者我要写书评

暂无评论

Design of Symlet wavelet based Illumination Normalization Algorithm and its Comparison with other Relevant Algorithms 42

Design of Symlet Wavelet based Illumination Normalization Al...

引用

42nd International conference on Telecommunications and signal processing (TSP)

作者： Lamichhane, Kamal Mazumdar, Pramit Univ Roma La Sapienza Rome Italy Univ Studi Roma TRE Rome Italy

ISBN: (纸本)9781728118642

image processing techniques may be used for enhancing edges, boundaries, contrast, etc. of an image through accentuation or sharpening process. Many algorithms are available to normalize illumination impact for different image processing applications. In this contribution, we conduct a comparative study on four different types of illumination normalization algorithms. They are based on discrete wavelet, logarithmic total variation with primal dual algorithm, histogram equalization technique, and morphological operation. In order to obtain better enhancement of image by using discrete wavelet based illumination normalization algorithm, selection of the particular wavelet is very important. Use of histogram equalization function in image preprocessing with other algorithms enhances the overall performance of face detection. This paper illustrates performance of different illumination normalization algorithms in Viola-Jones face detection system based on the extended Yale B database.

关键词： Discrete wavelet transform Face detection Histogram equalization Illumination normalization Viola-Jones algorithm

来源：评论

学校读者我要写书评

暂无评论

Incep-eegnet: A convnet for motor imagery decoding 9th

Incep-eegnet: A convnet for motor imagery decoding

引用

9th International conference on image and signal processing, ICISP 2020

作者： Riyad, Mouad Khalil, Mohammed Adib, Abdellah Networks Telecoms and Multimedia Team LIM@II-FSTM B.P. 146 Mohammedia20650 Morocco

ISBN: (纸本)9783030519346

The brain-computer interface consists of connecting the brain with machines using the brainwaves as a mean of communication for several applications that help to improve human life. Unfortunately, Electroencephalography that is mainly used to measure brain activities produces noisy, non-linear and non-stationary signals that weaken the performances of Common Spatial Pattern (CSP) techniques. As a solution, deep learning waives the drawbacks of the traditional techniques, but it still not used properly. In this paper, we propose a new approach based on Convolutional Neural Networks (ConvNets) that decodes the raw signal to achieve state-of-the-art performances using an architecture based on Inception. The obtained results show that our method outperforms state-of-the-art filter bank common spatial patterns (FBCSP) and ShallowConvNet on based on the dataset iia of the BCI Competition IV. © Springer Nature Switzerland AG 2020.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

Analysis on FFT and DWT Transformations in image processing

Analysis on FFT and DWT Transformations in Image Processing

引用

2019 International conference on Emerging Trends in Science and Engineering, ICESE 2019

作者： Susrutha, G. Mallikarjun, K. Ajay Kumar, M. Ashok, M. MRIET Dept of ECE India Shri JJT University Dept of ECE India

ISBN: (纸本)9781728118710

An image processing is a coming out research which needs heed in bio-medical field. There are many image processing methods which are useful to bring out information for analysis, memory space and conserves computing time. Transformation is one of image processing techniques. Some of the transformation techniques are wavelet transform, Hilbert transform, Radon Transform, Fourier transform etc. Transformation techniques are chosen based on their applications, advantages and disadvantages. The wavelet transformation be a technique which equates time domain and frequency domain. It is exactly as popular as the time-frequency representation of a non -stationary signal. Where Fourier transform breaks down the image into real and imaginary components, which is nothing but representation of image in frequency domain. In this paper, discrete wavelet transform using Haar and fast Fourier transform are applied on images using MATLAB 2018a © 2019 IEEE.

关键词： Discrete wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

Design and Implementation of 111 MHz Frequency Compression Efficient CORDIC Based 2D-DCT using FPGA and its Power Performance

Design and Implementation of 111 MHz Frequency Compression E...

引用

IEEE Bombay Section Signature conference (IBSSC)

作者： Bharati Y. Masram P. T. Karule Yeshwantrao Chavan College of Engineering Nagpur India

ISBN: (纸本)9781665417594

The new idea behind the CORDIC algorithm used for contemporary DSP applications is introduced in this work due to a very appealing and simple technique. This method not only reduces latency but also improves the throughput of output parameters and also reduces the complexity of 2D –DCT computations. This paper describes an FPGA-based CORDIC processor that provides an efficient area with low latency and high frequency. The DCT processor has sought to eliminate multiplication operations by increasing the amount of shift and addition operations using the CORDIC method to reduce the complexity of computation. Application such as Speech waveform 1D- DCT is a highly helpful application in signal processing. This research provides the power performance study and FPGA implementation of the CORDIC algorithm work for 111.048 MHz frequency 2D-DCT using HDL simulation with the help of Xilinx ISE 14.7 and implemented it using Development board Altera Cyclone ii.

关键词： image coding signal processing algorithms Computer architecture Very large scale integration Throughput Complexity theory Timing

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：