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Digital image Interpolation in Matlab

2019年

作者： Kok, Chi-Wah Tam, Wing-Shan John Wiley & Sons, Incorporated

This book provides a comprehensive study in digital image interpolation with theoretical, analytical and Matlab® implementation. It includes all historically and practically important interpolation algorithms, accompanied with Matlab® source code on a website, which will assist readers to learn and understand the implementation details of each presented interpolation algorithm. Furthermore, sections in fundamental signal processing theories and image quality models are also included. The authors intend for the book to help readers develop a thorough consideration of the design of image interpolation algorithms and applications for their future research in the field of digital image processing. Introduces a wide range of traditional and advanced image interpolation methods concisely and provides thorough treatment of theoretical foundations Discusses in detail the assumptions and limitations of presented algorithms Investigates a variety of interpolation and implementation methods including transform domain, edge-directed, wavelet and scale-space, and fractal based methods Features simulation results for comparative analysis, summaries and computational and analytical exercises at the end of each chapter Digital image Interpolation in Matlab® is an excellent guide for researchers and engineers working in digital imaging and digital video technologies. Graduate students studying digital image processing will also benefit from this practical reference text.

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Multi-Rate signal processing with the Use of Filter Banks Composed of Parallel FIR Filters 31

Multi-Rate Signal Processing with the Use of Filter Banks Co...

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IEEE 31st International Conference on Microelectronics (MIEL)

作者： Banach, M. Dlugosz, R. Aptiv Serv Poland Ul Podgorki Tynieckie 2 PL-30399 Krakow Poland Poznan Univ Tech Inst Architecture & Spatial Planning Nieszawska 13C PL-61021 Poznan Poland UTP Univ Sci & Technol Fac Telecommun Comp Sci & Elect Engn Ul Kaliskiego 7 PL-85796 Bydgoszcz Poland Aptiv Serv Poland Ul Podgorki Tynieckie 2 PL-30399 Krakow Poland

ISBN: (纸本)9781728134192

The paper presents a concept of a hardware implementation of 2-D finite impulse response (FIR) filter banks for the application in image processing and analysis. Banks composed of low- and high-pass FIR filters are basic components of multi-stage discrete wavelet transform (DWT). The applications of such solutions that are in the scope of our interests are vision systems used in automotive active safety functions (e.g in line departure warning). Basics of the DWT are broadly described in the literature. In our work we focus on solutions supporting hardware realization of filter banks for DWT. The proposed parallel and asynchronous circuits allow to achieve the processing time for a single pixel not exceeding 2 to 4 ns, depending on the size of the mask (data for TSMC 180 nm CMOS process).

关键词： Discrete wavelet transforms Finite impulse response filters Hardware Frequency response Complexity theory

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Validating few contemporary approaches in image segmentation – A quantitative approach 4th

Validating few contemporary approaches in image segmentation...

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4th International Symposium on signal processing and Intelligent Recognition Systems, SIRS 2018

作者： Fasiuddin, Syed Blackbuck Engineers Pvt Ltd Hyderabad India

ISBN: (纸本)9789811357572

In this paper, we present an extensive study and quantitative evaluation of six segmentation techniques on images of Berkeley Segmentation Database. image segmentation plays a vital role in many computer vision applications and benchmarking such algorithms may assist research community in present and future research efforts in the field of image segmentation. Color space models, Hybrid color space and wavelet, Gradient Magnitude Techniques, K – means, C-Means & Fuzzy C-Means (FCM) and Edison’s Mean – shift approaches are evaluated using at least six metrics with respect to ground-truth boundaries of entire images in BSD 300/500 dataset images. The results stated here gives useful insights to above mentioned approaches and its significance in aligning upcoming research avenues in image segmentation. © 2019, Springer Nature Singapore Pte Ltd.

关键词： image segmentation

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Efficient Low Bit-Rate Intra-Frame Coding using Common Information for 360-degree Video

Efficient Low Bit-Rate Intra-Frame Coding using Common Infor...

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IEEE Workshop on Multimedia signal processing

作者： Fariha Afsana Manoranjan Paul Manzur Murshed David Taubman Charles Sturt University Australia Federation University Australia Australia University of New South Wales Australia

ISBN: (数字)9781728193205

ISBN: (纸本)9781728193236

With the growth of video technologies, super-resolution videos, including 360-degree immersive video has become a reality due to exciting applications such as augmented/virtual/mixed reality for better interaction and a wide-angle user-view experience of a scene compared to traditional video with narrow-focused viewing angle. The new generation video contents are bandwidth-intensive in nature due to high resolution and demand high bit rate as well as low latency delivery requirements that pose challenges in solving the bottleneck of transmission and storage burdens. There is limited optimisation space in traditional video coding schemes for improving video coding efficiency in intra-frame due to the fixed size of processing block. This paper presents a new approach for improving intra-frame coding especially at low bit rate video transmission for 360-degree video for lossy mode of HEVC. Prior to using traditional HEVC intra-prediction, this approach exploits the global redundancy of entire frame by extracting common important information using multi-level discrete wavelet transformation. This paper demonstrates that the proposed method considering only low frequency information of a frame and encoding this can outperform the HEVC standard at low bit rates. The experimental results indicate that the proposed intra-frame coding strategy achieves an average of 54.07% BD-rate reduction and 2.84 dB BD-PSNR gain for low bit rate scenario compared to the HEVC. It also achieves a significant improvement in encoding time reduction of about 66.84% on an average. Moreover, this finding also demonstrates that the existing HEVC block partitioning can be applied in the transform domain for better exploitation of information concentration as we applied HEVC on wavelet frequency domain.

关键词： Bit rate Encoding Discrete wavelet transforms Data mining image reconstruction Standards Gain

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SAR image enhancement method based on tetrolet transform and rough sets 5th

SAR image enhancement method based on tetrolet transform and...

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5th Euro-China Conference on Intelligent Data Analysis and applications, ECC 2018

作者： Lingzhi, Wang Automation School Xian University of Posts and Telecommunications Xi’an710121 China

ISBN: (纸本)9783030037659

SAR image enhancement is one of the key issues on SAR image processing. In this paper, a new SAR image enhancement method is presented. Firstly, SAR image is abstracted into a knowledge system by rough sets, and obtained the approximate subsets of the edge and texture respectively. And then the introduction of tetrolet transformation, edge subset and texture subset is so represented sparsely that the signal energy is more concentrated. In Tetrolet transform domain, edge subset is refined by margin adjustment and texture subset is enhanced by threshold method. Finally, the edge and the texture subset processed are inversed by tetrolet transform, and weighted them to obtain the enhanced results. Experimental results show the proposed method that has better performance to retain detail information and suppress Speckle noise, superior to the traditional wavelet transform and contourlet transform method. © Springer Nature Switzerland AG 2019.

关键词： image enhancement

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Improving Occluded Face Recognition with image Fusion

Improving Occluded Face Recognition with Image Fusion

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International Congress on image and signal processing, BioMedical Engineering and Informatics (CISP-BMEI)

作者： Panxi Chen Xiaoqiang Li Wenfeng Wang Illinois Wesleyan University Illinois the United States Fudan University Shanghai China School of Electr. and Electr. Eng. Shanghai Institute of Technology Shanghai China

ISBN: (数字)9780738105451

ISBN: (纸本)9781665422994

The application of vision technology has penetrated into many fields such as tourism, education, government affairs, housing, Internet applications, etc. Among them, face recognition technology has been closely related to our lives, such as mobile phone unlocking, attendance check-in, residential access control, etc., resulting in an increasing demand for high success rate face recognition. The recent new crown virus epidemic has caused many people to wear masks to go out, and the masks covering the face will reduce the effective recognition rate. In order to improve the inconvenience caused by masks to the application of face recognition technology, we try to apply image fusion technology to improve the success rate of face recognition. We compared the recognition rates of six common image fusion technologies. These technologies use the Labeled Faces in the Wild database as the data source and the Iterative Weighted Regular Robust Coding (IR3C) algorithm as the evaluation method. The final results show that the use of these image fusion technologies can greatly improve the recognition success rate of images occluded by masks. In particular, the weighted average technique and principal component analysis give a stable performance on recognition accuracy of 99.6% and 99.0% in a relatively small-scale data set, while the LFW simulated masked face dataset provided by Wuhan University that did not perform image fusion Only has a recognition rate of 85.4%. The application of image fusion can solve some limitations in the use of face recognition and bring more convenience to various fields.

关键词： Face recognition image recognition image fusion Principal component analysis Discrete wavelet transforms Mathematical model Transforms

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基于注意力生成对抗网络的单幅图像去雨方法

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计算机工程与应用 2021年第15期57卷 215-222页

作者：朱德利熊昌胡雪奎李炜王青重庆师范大学计算机与信息科学学院重庆401331 重庆市数字农业服务工程技术研究中心重庆401331

下雨是一种常见的天气现象,而滞留在图像上的雨条纹降低了图像的清晰度以及影响了基于该图像的后续图像处理。从图像中去除雨的关键是如何准确、鲁棒地识别图像中的雨区域。使用导向滤波器和Haar小波变换组成的雨线提取模块来增强雨条... 详细信息

下雨是一种常见的天气现象,而滞留在图像上的雨条纹降低了图像的清晰度以及影响了基于该图像的后续图像处理。从图像中去除雨的关键是如何准确、鲁棒地识别图像中的雨区域。使用导向滤波器和Haar小波变换组成的雨线提取模块来增强雨条纹特征提取,然后通过空间关注模块生成雨线注意力图,以准确定位雨条纹的位置。两者结合后,获得降雨条纹的前景信息再通过生成对抗网络训练机制中相互博弈的特征,可以增强雨条位置识别能力,并有效地去除雨条纹。在综合测试数据集和真实图像上进行实验,对比几种深度网络去雨方法,峰值信噪比(PSNR)和结构相似比(SSIM)都得到提升。实验表明,该网络具有出色的性能,对于不同的雨条纹密度具有较高的泛化能力同时可以更好地保持图像的原有信息,避免图像模糊现象。

关键词：生成对抗网络注意力机制图像去雨

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Discrete linear canonical wavelet transform and its applications

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EURASIP JOURNAL ON ADVANCES IN signal processing 2018年第1期2018卷 1页

作者： Wang, Jiatong Wang, Yue Wang, Weijiang Ren, Shiwei Beijing Inst Technol Sch Informat & Elect South ZhongGuanCun St Beijing 100081 Peoples R China

The continuous generalized wavelet transform (GWT) which is regarded as a kind of time-linear canonical domain (LCD)-frequency representation has recently been proposed. Its constant-Q property can rectify the limitations of the wavelet transform (WT) and the linear canonical transform (LCT). However, the GWT is highly redundant in signal reconstruction. The discrete linear canonical wavelet transform (DLCWT) is proposed in this paper to solve this problem. First, the continuous linear canonical wavelet transform (LCWT) is obtained with a modification of the GWT. Then, in order to eliminate the redundancy, two aspects of the DLCWT are considered: the multi-resolution approximation (MRA) associated with the LCT and the construction of orthogonal linear canonical wavelets. The necessary and sufficient conditions pertaining to LCD are derived, under which the integer shifts of a chirp-modulated function form a Riesz basis or an orthonormal basis for a multi-resolution subspace. A fast algorithm that computes the discrete orthogonal LCWT (DOLCWT) is proposed by exploiting two-channel conjugate orthogonal mirror filter banks associated with the LCT. Finally, three potential applications are discussed, including shift sampling in multi-resolution subspaces, denoising of non-stationary signals, and multi-focus image fusion. Simulations verify the validity of the proposed algorithms.

关键词： Discrete linear canonical wavelet transform Multi-resolution approximation Filter banks Shift sampling Denoising image fusion

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The improving of biometric image quality compression using wavelet and SPIHT coding

The improving of biometric image quality compression using W...

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International Conference on signal, image, Vision and their applications (SIVA)

作者： Bouida, Ahmed Benyahia, Ismahane Beladgham, Mohammed Merit, Khaled Univ TAHRI Mohammed Bechar Informat Proc & Telecommun Lab LTIT Bechar Algeria

ISBN: (纸本)9781538671207

The important objective of image compression is reducing the quantity of data required by the applying an image encoding. This reduction is needed for transmission or database storage. Our used is based on the wavelet transform in image compression. It offers ascend to numerous applications in different fields, for example, geophysics, astronomy, media communications, imaging, and video coding. This contribution presents an application in the compression of the biometric image based on the second-generation wavelet with lifting and combined with SPIHT progressive encoder. To study the reliability and performance of these algorithms, we apply them on iris image and use the image quality assessment with full reference (PSNR, MSSIM, viii and without reference (NIQE, BLIINDS). The obtained results are very interestingly and encouraging.

关键词： image compression Quality Assessment (IQA) wavelets Biometric image

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An Effective Statistical Test Suite for Pseudorandom number Generators in Digital Signatures and Security Robustness Evaluation including a wavelet Test for Randomness

An Effective Statistical Test Suite for Pseudorandom number ...

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Symposium of image, signal processing, and Artificial Vision (STSIVA)

作者： Dimitrios A. Karras National & Kapodistrian University of Athens (NKUA) Greece

ISBN: (数字)9781728170862

ISBN: (纸本)9781728170879

The need for random and pseudorandom numbers arises in many cryptographic applications including digital signatures management. For instance, common cryptosystems employ keys that must be generated in a random fashion. Many cryptographic protocols also require random or pseudorandom inputs at various points, e.g., for auxiliary quantities used in generating digital signatures, or for generating challenges in authentication protocols. A suitable set of statistical tests for randomness of message digests (MD5, SHA) and digital signatures DSA algorithms is outlined and evaluated in this paper based mainly on the revisions of National Institute of Standards and Technology (NIST) procedures in detecting deviations of a binary sequence from randomness. Although such an analysis exists for AES standard there is no similar study for message digests or digital signatures. The contribution of this paper lies in the attempt to fill in this gap from an educational point of view, providing relevant plots of the derived sequences, as well as to introduce a novel Discrete wavelet Transform Test for Randomness.

关键词： NIST Robustness Generators Cryptography Informatics Digital signatures Standards

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