检索结果-内蒙古大学图书馆

Severely Degraded Underwater image Enhancement with a wavelet-based Network

INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND applications 2022年第8期13卷 7-13页

作者： Takao, Shunsuke Kita, Tsukasa Hirabayashi, Taketsugu Port & Airport Res Inst Dept Infrastruct Digital Transformat Engn Yokosuka Japan

Underwater images are important in marine science and ocean engineering fields owing to giving color information, low cost, and compact. Yet obtained underwater images are often degraded and restoring and enhancing wavelength selective signal attenuation of underwater images depending on complex underwater physical process is essential in practical application. While recently developed deep learning is a promising choice, constructing sufficiently large dataset covering whole real images is challenging, peculiar to underwater image processing. In order to supplement relatively small dataset, previous studies alternatively construct an artificial underwater image dataset based on a physical model or Generative Adversarial Network. Also, incorporating traditional signal processing methods into the network architecture has shown promising success, though enhancement of severely degraded underwater images remains to be a big issue. In this paper, we tackle underwater image enhancement based on an encoder-decoder based deep learning model incorporating discrete wavelet transform and whitening and coloring transform. We also construct a severely degraded real underwater image dataset. The presented model shows excellent results both qualitatively and quantitatively in the artificial and real image dataset. Constructed dataset is available at https://***/tkswalk/2022-IJACSA.

关键词： Underwater image enhancement deep learning discrete wavelet transform whitening and coloring transform

来源：评论

学校读者我要写书评

暂无评论

Fractional S-Transform and Its Properties: A Comprehensive Survey

引用

WIRELESS PERSONAL COMMUNICATIONS 2020年第4期113卷 2519-2541页

作者： Ranjan, Rajeev Jindal, Neeru Singh, A. K. Chandigarh Univ Elect & Commun Engn Dept Mohali Punjab India Thapar Inst Engn & Technol Dept Elect & Commun Engn Patiala Punjab India Thapar Inst Engn & Technol Patiala Punjab India

In time-frequency analysis, generalization of S-transform (ST) is known as fractional S-transform. Recently, fractional S-transform (FrST) has played an important role in the area of signal and image processing. The ST is a hybrid of wavelet, and short time Fourier transform. In this paper, the definition, properties and applications areas of ST and FrST are focused. The aim of this survey is to study ST and FrST, formats, properties, applications, and open issues to encourage further research in the fields of digital signal processing (DSP) and other applications area of engineering. In this article, firstly the several transforms that are related to ST as well as FrST are described and in the second part, comprehensive and exhaustive facts on the use of S-transform reviews and FrST in the area of DSP are enlightened. This transform technique is used for detection of LFM signal in the presence of echo.

关键词： S-transform (ST) wavelet transform (WT) Short-time FT (STFT) Fractional S-transform (FrST) Fractional Fourier transform (FrFT)

来源：评论

学校读者我要写书评

暂无评论

IMPROVINGMESH-BASED MOTION COMPENSATION BY USING EDGE ADAPTIVE GRAPH-BASED COMPENSATED wavelet LIFTING FOR MEDICAL DATA SETS

arXiv

引用

arXiv 2023年

作者： Lanz, Daniela Kaup, André Cauerstr. 7 Erlangen91058 Germany

Medical applications like Computed Tomography (CT) or Magnetic Resonance Tomography (MRT) often require an efficient scalable representation of their huge output volumes in the further processing chain of medical routine. A downscaled version of such a signal can be obtained by using image and video coders based on wavelet transforms. The visual quality of the resulting lowpass band, which shall be used as a representative, can be improved by applying motion compensation methods during the transform. This paper presents a new approach of using the distorted edge lengths of a mesh-based compensated grid instead of the approximated intensity values of the underlying frame to perform a motion compensation. We will show that an edge adaptive graph-based compensation and its usage for compensated wavelet lifting improves the visual quality of the lowpass band by approximately 2.5 dB compared to the traditional mesh-based compensation, while the additional filesize required for coding the motion information doesn't change. Copyright © 2023, The Authors. All rights reserved.

关键词： Discrete wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

Machine learning based blind color image watermarking scheme for copyright protection ?

引用

PATTERN RECOGNITION LETTERS 2021年 145卷 171-177页

作者： Sinhal, Rishi Jain, Deepak Kumar Ansari, Irshad Ahmad PDPM Indian Inst Informat Technol Design & Mfg Elect & Commun Engn Jabalpur 482005 MP India Chongqing Univ Posts & Telecommun Coll Automat Key Lab Intelligent Air Ground Cooperat Control U Chongqing 400065 Peoples R China

This work presents a blind and robust scheme using YCbCr color space, IWT (integer wavelet transform) and DCT (discrete cosine transform) for color image watermarking. During watermark insertion, Y channel is divided into blocks and Mersenne Twister random number generator is used to select the blocks for embedding. This randomized selection of blocks required a secret key, thus improving the security of the scheme. To reduce the computational complexity, the artificial neural network architecture is developed for watermark embedding. To check the robustness, several signal processing attacks such as JPEG compression, filtering attacks, noise attacks, cropping, resizing and other common attacks are applied on the watermarked images. The proposed work is tested on different images to verify the similarity in watermarking results. The scheme provides similar results (having little variation) for different test images. Experimental results demonstrate the superior performance in terms of imperceptibility and robustness. Further, the ANN framework provides faster embedding with approximately similar parametric results. The performance comparison with existing schemes demonstrates better performance for different attacks. The proposed work can be used in robust applications (i.e. copyright protection) for efficient results and less computational time. (c) 2021 Elsevier B.V. All rights reserved.

关键词： Robust image watermarking Artificial neural network Machine learning YCbCr color space

来源：评论

学校读者我要写书评

暂无评论

FPGA implementation of XOR-MUX full adder based DWT for signal processing applications

引用

MICROPROCESSORS AND MICROSYSTEMS 2020年第0期73卷 102961-000页

作者： Radhakrishnan, P. Themozhi, G. Tagore Engn Coll Dept ECE Chennai Tamil Nadu India AMET Univ Dept EEE Chennai Tamil Nadu India

In the recent past there is a rapid development in the field of digital technology especially in signal processing and image processing based applications Excellent performance high speed, compactable in size low power and less delay are the essential needs of the devices used for applications such as signal processing, audio processing and software define radio and so on. Particularly, digital gadgets are prone to have more critical logic size and power consumption and take large area in VLSI Implementation due to arithmetic operations of adders and multiplier designs. Thus priority architecture of Digital wavelet Transform (DWT) is affected as it comprises a number of Filter banks in level basics, thus all Filter banks have number of adders and multipliers due to coefficient decompositions of low and high pass filters. On this n-size repeated filter logic takes more logic size and power consumption. Here, the proposed work presents a novel approach of DWT by replacing conventional adders and multipliers with XOR-MUX adders and Truncations multipliers thereby reducing the 2n logic size to n-size logic, Finally, the proposed DWT architecture designed in VHDL and also implemented in FPGA XC6SLX9-2TQG144 proved the performance in terms of delay, area and power. (C) 2019 Elsevier B.V. All rights reserved.

关键词： DWT (Discrete wavelet Transform) FPGA(Field Programmable Gate Array)

来源：评论

学校读者我要写书评

暂无评论

Real-time FPGA implementation of a secure chaos-based digital crypto-watermarking system in the DWT domain using co-design approach

引用

JOURNAL OF REAL-TIME image processing 2021年第6期18卷 2009-2025页

作者： Kaibou, Redouane Azzaz, Mohamed Salah Benssalah, Mustapha Teguig, Djamel Hamil, Hocine Merah, Amira Akrour, Meriam Tinhinane Ecole Mil Polytech LSEN BP 17 Bordj El Bahri Algiers Algeria Ecole Mil Polytech LTS BP 17 Bordj El Bahri Algiers Algeria Ecole Mil Polytech LT BP 17 Bordj El Bahri Algiers Algeria Univ Mouloud Mammeri Tizi Ouzou LAMPA Tizi Ouzou Algeria

In this paper a new approach for designing invisible non-blind full crypto-watermarking system targeting images security on FPGA platform is presented. This new design is based on the Hardware-Software co-design approach using the High-Level Synthesis (HLS) tool of Xilinx which allows a good compromise between development time and performances. For a better authentication and robustness of the proposed system, the Discrete wavelet Transform (DWT) is employed. To more enhance the security level, a new chaos-based generator proposed is integrated into a stream cipher algorithm in order to encrypt and decrypt the watermark during the insertion and extraction *** approach allows a better secure access at the positions of the watermark and to distribute the watermark evenly throughout the image. Three novel customized Intellectual Property (IP) cores designed under HLS tool, implementing Haar DWT and the new chaos-based key generator, have been generated, tested, and validated. The generated Register Transfer Level-IP (RTL-IP) cores are integrated into a Vivado library that achieves real-time secured watermarking operations for both embedding and extraction processes. The system has been evaluated using the main metrics in terms of imperceptibility of the produced watermarked images achieving a Peak signal to Noise Ratio (PSNR) of 47 dB, robustness against most geometric and image processing attacks achieving a Normalized Cross-Correlation (NCC) of 0.99. The proposed crypt-watermarking system allows a good solution against brute force attack which produce a huge key-space of 2768. Finally, the implementation offers a good efficiency value of 0.19 MHz/LUT in terms of FPGA resource consumption and speed, making the system a reliable choice for real sensitive embedded applications.

关键词： image watermarking Transform domain Chaotic encryption FPGA Vivado-HLS C plus plus /VHDL co-design

来源：评论

学校读者我要写书评

暂无评论

Multi-Resolution Pre-processing for Pattern Recognition in images and Audio signals. 32

Multi-Resolution Pre-Processing for Pattern Recognition in I...

引用

32nd Irish signals and Systems Conference (ISSC)

作者： Mansor, Noha Flynn, Ronan Daly, Mark Athlone Inst Technol Fac Engn & Informat Dept Elect & Software Eng Athlone Ireland

ISBN: (纸本)9781665434294

With the rapid growth of technology and the proliferation of data in this digital age, current image and audio applications require greater resolution, higher data transmission rates and better data compression techniques to meet the ever increasing demands placed on them. The research presented here investigates the impact of data compression in the automatic recognition of handwritten digit images and spoken digit audio. A Haar wavelet transform (HWT) is used to compress the original image and audio data, which is input to an artificial neural network (ANN) where the automatic digit recognition is performed. The HWT generates a signature, or fingerprint, for the data by removing redundant data using a cut-off function, a number of which are investigated. This reduced data signature enables the ANN-based recogniser to be simplified and computationally more efficient. Experimental results show that for handwritten digit images, the recognition accuracy is 94.3% with compression ratios of 80%;for spoken audio digits, the recognition accuracy is 98.8% with compression ratios of 82%.

关键词： Haar wavelet transform artificial neural network image audio compression

来源：评论

学校读者我要写书评

暂无评论

A new structure of spline wavelet transform based on adaptive directional lifting for efficient image coding

引用

signal image AND VIDEO processing 2020年第7期14卷 1451-1459页

作者： Boujelbene, Rania Ben Jemaa, Yousra Univ Tunis El Manar Lab L3S Tunis Tunisia

We present in this paper a modified structure of a polynomial spline wavelet transform based on adaptive directional lifting for image compression. The proposed method not only uses the polynomial splines as a tool for the construction of the appropriate filters seeing its efficiency as compared to other filters like the biorthogonal 9/7, but also adapts far better to the image-orientation features by carrying out a lifting-based prediction in local windows in the direction of high pixel correlation. The main purpose of this article is then to integrate the coefficients calculated by the best spline filter order into the adaptive directional lifting. The new method is designed to further reduce the magnitude of the high-frequency wavelet coefficients and preserve the detailed information of the original images more effectively. The numerical results demonstrate the efficiency of the proposed approach over the traditional lifting-based spline wavelet transform and the adaptive directional lifting with respect to both objective and subjective criteria for image compression applications.

关键词： image compression wavelet transform Spline Directional lifting

来源：评论

学校读者我要写书评

暂无评论

Hybrid Watermarking Algorithm to Protect and Authenticate KhalifaSat imagery using DWT-SVD and SHA3 Hash Key

Hybrid Watermarking Algorithm to Protect and Authenticate Kh...

引用

International image processing, applications and Systems Conference (IPAS)

作者： Alavikunhu Panthakkan S. M. Anzar Saeed Al Mansoori Hussain Al-Ahmad College of Eng. and IT. University of Dubai United Arab Emirates Dept. of Electronics and Comm. TKM College of Engineering Kollam Kerala India Applications Dev. Section Mohammed Bin Rashid Space Centre United Arab Emirates

ISBN: (纸本)9781665462204

Using DWT-SVD and SHA3 Hash function, this research aims to develop an ownership protection and image authentication technique that embeds the watermark information and hash authentication key in a hybrid domain. The experiment was conducted with multispectral images from the KhalifaSat. The Performance of the proposed method is evaluated using wavelet domain signal to noise ratio (WSNR), structural similarity index measurement (SSIM) and peak signal to noise ratio (PSNR). To analyse the efficacy of the recovered watermark, two metrics are used: Normalized Correlation (NC) and image Quality Index (IQI). The method presented is robust against many intended and unintended attacks. Without sacrificing transparency, our proposed watermarking approach meets the objectives of imperceptibility and robustness. It accurately detects the manipulated locations on the satellite image and is sensitive to even small changes.

关键词： Hash functions Wireless sensor networks Satellites PSNR wavelet domain Authentication Watermarking

来源：评论

学校读者我要写书评

暂无评论

Edge-Based image Watermarking Method with Weighted Discrete Cosine Transform Coefficients

Edge-Based Image Watermarking Method with Weighted Discrete ...

引用

IEEE signal processing and Communications applications (SIU)

作者： Rukiye Karakiş Kali Gü rkahraman Yaz&#x0131 l&#x0131 m M&#x00FC hendisli&#x011F i B&#x00F6 l&#x00FC m&#x00FC Sivas Cumhuriyet &#x00DC niversitesi Sivas T&#x00FC rkiye Bilgisayar M&#x00FC

ISBN: (数字)9781665450928

ISBN: (纸本)9781665450935

In image watermarking, hybrid approaches increase imperceptibility and robustness. Also, a scaling factor is used, which should be optimized when combining the cover image and watermark. In this study, discrete wavelet transform and discrete cosine transform (DCT) were used together. The watermark-edge image was obtained by randomly inserting the watermark on the horizontal, vertical and diagonal edge points of the cover image detected with Sobel. The DCT frequency components of the watermark-edge image were weighted with a generated matrix and combined with the DCT of the cover image. According to the obtained results, the proposed method is imperceptible and robust to various attacks, especially JPEG compression and noise attacks.

关键词： image coding image edge detection Transform coding Watermarking Transforms signal processing Robustness

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：