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计算机应用 2021年第8期41卷 2312-2317页

作者：石雪松李宪华孙青宋韬安徽理工大学机械工程学院安徽淮南232001 上海大学机电工程与自动化学院上海200444

针对传统模糊C均值(FCM)聚类算法在处理噪声图像时易受到噪声影响的问题,提出了基于FCM的小波域特征增强的噪声图像分割方法。首先,将噪声图像进行二维小波分解;其次,对近似系数进行边缘增强,同时利用人工蜂群(ABC)优化算法对细节系数... 详细信息

针对传统模糊C均值(FCM)聚类算法在处理噪声图像时易受到噪声影响的问题,提出了基于FCM的小波域特征增强的噪声图像分割方法。首先,将噪声图像进行二维小波分解;其次,对近似系数进行边缘增强,同时利用人工蜂群(ABC)优化算法对细节系数进行阈值处理,并将处理后的系数进行小波重构;最后,对重构后的图片使用FCM算法来进行图像分割。选取5幅典型的灰度图像,分别添加高斯噪声和椒盐噪声,使用多种方法进行分割,以分割后图像的峰值信噪比(PSNR)和误分率(ME)作为性能指标,实验结果表明,所提方法分割后的图片相较于传统FCM聚类算法分割方法和粒子群优化(PSO)分割方法分割后的图片在PSNR上最多分别有281%和54%的提升,在ME上最多分别有55%和41%的降低。可见所提出的分割方法较好地保留了图像边缘纹理信息,其抗噪性能与分割性能得到了提升。

关键词：模糊C均值小波分解人工蜂群小波重构峰值信噪比误分率

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

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

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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

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Analysis on FFT and DWT Transformations in image processing

Analysis on FFT and DWT Transformations in Image Processing

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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

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A new scheme for watermark extraction using combined noise-induced resonance and support vector machine with PCA based feature reduction

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MULTIMEDIA TOOLS AND applications 2019年第16期78卷 23203-23224页

作者： Verma, Vivek Singh Bhardwaj, Anuj Jha, Rajib Kumar Ajay Kumar Garg Engn Coll Ghaziabad 201009 India Jaypee Inst Informat Technol Noida 201307 India Indian Inst Technol Patna 800013 Bihar India

This manuscript presents a new scheme for binary watermark extraction using the combined application of noise-induced resonance (NIR) and support vector machine (SVM). The principal component analysis (PCA) is incorporated to minimize the dimension of the feature set obtained from the attacked watermarked image. The scheme utilizes lifting wavelet transform to decompose the original image into three levels, and blocks of low frequency sub-band coefficients are used for embedding purpose. Reference and signature information is embedded by quantizing the maximum and minimum coefficients of the corresponding block. Whereas, to extract the watermark, NIR-based tuning operation is performed. The transformed coefficients of the attacked watermarked image are tuned using iterative procedure of NIR in such a way that the transformed coefficients change their state from low signal-to-noise ratio (SNR) to maximum SNR or enhanced state. Finally, the tuned coefficients are fed into the machine i.e. SVM to classify as binary classes (0 or 1) which result in the corresponding watermark extraction. Experimental results of the proposed algorithm demonstrate noteworthy robustness against various signal processing attacks and remarkable improvements comparing with some of the recent techniques. Also, the scheme fulfills the requirements of image integrity in case of new strategic attack (i.e. print attack).

关键词： Noise-induced resonance Support vector machine Features reduction Print attack Lifting wavelet transform

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Performance Analysis of DWT Families

Performance Analysis of DWT Families

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International Conference on Intelligent Sustainable Systems (ICISS)

作者： Owais Rashid Asdaq Amin Mohd Rafi Lone School of Engineering and Technology Baba Ghulam Shah Badshah University Rajouri J&K India

ISBN: (数字)9781728170893

ISBN: (纸本)9781728170909

Discrete wavelet transform (DWT) is a technique which is used to acquire wavelets from image pixels. It transforms a discrete time signal to discrete wavelet representation. The DWT has shown great performance in digital image compression, demodulation, demultiplexing and denoising applications. In this paper, a comparison among different wavelet transforms is made. These wavelets include; Discrete Meyer, Biorthogonal, Fejer-korovkin, Daubechies, Coiflets, Symlets and Reverse Biorthogonal wavelets. Each wavelet is implemented for upto six levels of wavelet decomposition. The reconstructed images are then compared with the original images and their performance is evaluated with the help of Peak signal-to-Noise Ratio (PSNR) and Mean Square Error (MSE). It has been observed in all wavelets that as we increase the decomposition level, MSE increases and PSNR decreases. In this paper, a comparison has been made between the different wavelet families, keeping the filter length fairly same in all the wavelets. This paper will help the new researchers of this field to choose the suitable wavelet transform for image processing applications.

关键词： Discrete wavelet transforms Transforms wavelet analysis Continuous wavelet transforms Time-frequency analysis Two dimensional displays Transform coding

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EDITORIAL SPECIAL ISSUE: PART IV-III-II-I SERIES - FRACTALS-FRACTIONAL AI-BASED ANALYSES AND applications TO COMPLEX SYSTEMS finestre of creativity, complexity and universality…

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FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY 2023年第10期31卷 2302005-2302005页

作者： Karaca, Yeliz Baleanu, Dumitru Moonis, Majaz Zhang, Yu-dong Gervasi, Osvaldo Univ Massachusetts Chan Med Sch 55 Lake Ave North Worcester MA 01655 USA Lebanese Amer Univ Beirut 11022 Lebanon Inst Space Sci Bucharest 077125 Romania Univ Leicester Univ Rd Leicester LE1 7RH England Univ Perugia I-06123 Perugia Italy

Complex systems, as interwoven miscellaneous interacting entities that emerge and evolve through self-organization in a myriad of spiraling contexts, exhibit subtleties on global scale besides steering the way to understand complexity which has been under evolutionary processes with unfolding cumulative nature wherein order is viewed as the unifying framework. Indicating the striking feature of non-separability in components, a complex system cannot be understood in terms of the individual isolated constituents' properties per se, it can rather be comprehended as a way to multilevel approach systems behavior with systems whose emergent behavior and pattern transcend the characteristics of ubiquitous units composing the system itself. This observation specifies a change of scientific paradigm, presenting that a reductionist perspective does not by any means imply a constructionist view;and in that vein, complex systems science, associated with multiscale problems, is regarded as ascendancy of emergence over reductionism and level of mechanistic insight evolving into complex system. While evolvability being related to the species and humans owing their existence to their ancestors' capability with regards to adapting, emerging and evolving besides the relation between complexity of models, designs, visualization and optimality, a horizon that can take into account the subtleties making their own means of solutions applicable is to be entailed by complexity. Such views attach their germane importance to the future science of complexity which may probably be best regarded as a minimal history congruent with observable variations, namely the most parallelizable or symmetric process which can turn random inputs into regular outputs. Interestingly enough, chaos and nonlinear systems come into this picture as cousins of complexity which with tons of its components are involved in a hectic interaction with one another in a nonlinear fashion amongst the other related systems

关键词： Applied Mathematics Computational Mathematics Pure Mathematics Mathematical Sciences Discrete Mathematics Mathematical Physics Theoretical Sciences Exact Science Computational Methods Computational Intelligence Applied Sciences Computer Science Computational Science Data Science Engineering Electrical and Electronics Engineering Exact Sciences Natural Sciences Social Sciences Nonlinear Dynamics Nonlinear Systems Linear Systems Fractional Calculus AI Control Control Systems Optimization Complexity Chaos Uncertainty Causality Symmetry Oscillations Bifurcation Stability Sensitivity Quantum Medicine Biology Physics Chemistry Mathematical Bioengineering Mathematical Neuroscience Mathematical Biology Artificial Intelligence Neural Networks Artificial Neural Networks Data-Driven Models Encryption Soft Computing Coding Theory Machine Learning Deep Learning Intelligent Systems Probabilities and Stochastic Processes Game Theory Solitons, Fractals, Multifractals Fractional Calculus Fractional Dynamics Fractional Mathematics Fractional Systems Fractional Models Fractals Multifractals Waves wavelet Entropy Algebraic Methods Computational (-Algorithmic) Complexity Fractional Order Differential Equations Fractional Differential Equations Fuzzy Fractional Differential Equations Special Functions Functional Analysis Error Estimations Fuzzy Calculus Differential/Integral Equations, Stochastic Differential Equations, Fractal-Fractional Differential Equations Fractional-Order Controllers Fractional-Order Systems Intelligent Fractional Order Systems Variational Principles image and/or signal processing Mathematical Models Fractal AI Fractional AI Fractals-Fractional AI Quantum AI Dynamical systems Chaotic Systems Complex Systems

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基于冗余提升不可分离小波的LSCN红外图像增强方法

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计算机系统应用 2022年第7期31卷 265-271页

作者：占子威邓长征付添夏鹏雨丁虹宇黄晓宇三峡大学电气与新能源学院宜昌443002 湖北南邦创电科技有限公司宜昌443002

针对红外图像信噪比低,易受背景环境影响的问题,提出一种基于不可分离小波的多尺度方向分析(NSWMDA)和连接突触计算网络(LSCN)的图像增强算法.该算法首先将原始图像进行冗余提升的不可分离小波变换(NSWT),得到高频细节子带和低频近似子... 详细信息

针对红外图像信噪比低,易受背景环境影响的问题,提出一种基于不可分离小波的多尺度方向分析(NSWMDA)和连接突触计算网络(LSCN)的图像增强算法.该算法首先将原始图像进行冗余提升的不可分离小波变换(NSWT),得到高频细节子带和低频近似子带,然后对高频细节子带进行多方向滤波后LSCN算法进行增强,对低频近似子带直接采用LSCN算法增强,最后对处理后的子图进行融合重构得到增强后的红外图像.在电力变压器红外图像中,该算法相比其他算法在边缘强度、信息熵、峰值信噪比、结构相似度、平局梯度5种指标中分别至少提升了10.86%、14.39%、19.95%、7.06%、6.70%.实验结果表明,该算法不仅提升了红外图像整体清晰度,同时也使得图像的细节纹理和对比度得到加强,具有很好的红外图像增强效果.

关键词：红外图像增强不可分离小波多尺度连接突触计算网络图像处理

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Motion-resistant heart rate measurement from face videos using patch-based fusion

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signal image AND VIDEO processing 2019年第3期13卷 423-430页

作者： Yang, Zhao Yang, Xuezhi Jin, Jing Wu, Xiu Hefei Univ Technol Sch Comp & Informat Hefei 230009 Anhui Peoples R China Anhui Prov Key Lab Ind Safety & Emergency Technol Hefei 230009 Anhui Peoples R China

The ability to measure heart rate (HR) from face videos is useful in applications such as neonatal monitoring, telemedicine and affective computing. In the realistic environments, subjects often have spontaneous head movements and facial expressions which severely degrade the performances of the current methods. We propose a novel patch-based fusion framework for estimating accurate HR from face videos in the presence of subjects' motions. The wavelet time-frequency analysis is applied on the raw blood volume pulse (BVP) signals for selecting less contaminated patches. Furthermore, a weighted fusion formula is constructed to obtain the final precise BVP signal, which is based on frequency and gradient information. Our method is validated on both our self-collected dataset and public dataset MAHNOB-HCI. Compared with the state of the art, experimental results show that the proposed method has an obvious superiority in the accuracy and robustness.

关键词： Photoplethysmography Imaging wavelet time-frequency analysis Fusion Heart rate estimation

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Dual-energy X-ray images enhancement based on a discrete wavelet transform fusion technique for luggage inspection at airport 6

Dual-energy X-ray images enhancement based on a discrete wav...

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6th International Conference on image and signal processing and their applications, ISPA 2019

作者： Chouai, Mohamed Merah, Mostafa Sancho-Gomez, Jose-Luis Mimi, Malika Mostaganem University Signals and Systems Laboratory Department of Electrical Engineering Mostaganem Algeria Information and Communications Murcia Spain

ISBN: (纸本)9781728131566

Billions of suitcases and other belongings are checked every year in airport X-ray systems around the world. This process is very important because it involves the detection of potentially dangerous objects such as firearms and explosives. However, the image quality of x-ray screening devices needed to be improved. This article attempts to make a contribution to the field of improving the radiographic image of luggage by proposing a complete procedure for improving the image quality based on discrete wavelet transform (DWT) image fusion followed by a noise suppression operation to obtain a good improvement of the fusion result. This article also presents a comparative analysis of five well-known image enhancement algorithm models, the evaluation is done using the Peak signal-to-Noise Ratio (PSNR). The results show that the proposed system provides promising results compared to the other techniques tested, which proves that the proposed approach is very appropriate and recommended for easy / fast identification of threatening objects in a manual or automatic manner. © 2019 IEEE.

关键词： image enhancement

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Veterinary image Enhancement using DWTDCT and Singular Value Decomposition

Veterinary Image Enhancement using DWTDCT and Singular Value...

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International Conference on Communications and signal processing

作者： Bindhu K Rajan Hiron M Harshan G Venugopal NSS College of Engineering APJ Abdul Kalam Technological University Palakkad Kerala India Gynecology Department College of Veterinary and Animal Sciences Mannuthy Thrissur Kerala India Instrumentation and Control Engineering Department Palakkad APJ Abdul Kalam Technological University Kerala India

ISBN: (数字)9781728149882

ISBN: (纸本)9781728149899

As imaging technology advances, one of the unavoidable part of image processing is the image enhancement. image enhancement is to improve the visual quality for specific applications. The proposed algorithm enhances the visual quality of the vaginoscopic images of bitches using Discrete wavelet Transform (DWT), Discrete Cosine Transform (DCT) and Singular Value Decomposition (SVD). The input image is decomposed into four frequency bands by using DWT. The low frequency band of the transformed image is again transformed by DCT into low frequency DCT coefficients and higher DCT coefficients. New low frequency band is formed by SVD. Inverse Discrete Cosine Transform (IDCT) is applied to produce the equalized image. Inverse Discrete wavelet Transform (IDWT) of new low frequency band and the other three frequency band are combined to give the enhanced image. Different quality measures such as Root Mean Square Error (RMSE), Peak to signal Noise Ratio (PSNR), Entropy, mean and Standard deviation are used to evaluate the performance of the model. The proposed model is implemented using MATLAB 2017a and obtained an average RMSE of 1.645. PSNR, Entropy, mean and standard deviation values for the proposed model are 44.12dB, 6.57, 103.35, 0.11 respectively. This qualitative analysis shows that proposed method seems to be useful for enhancing veterinary images for further processing.

关键词： image color analysis Entropy Standards Discrete wavelet transforms Discrete cosine transforms image enhancement Imaging

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