Yu-Qing Zhang, Ning He, Xue-Yan Zhen, Xin-dong Sun
The wavelet threshold denoising method has some defects. For example, the hard threshold function has no continuity at the threshold, which causes the Gibbs ringing effect. The soft threshold is relatively smooth, but the image is blurred. Image denoising based on total variation (TV) can effectively preserve the edge detail of the image, but in the smooth area, the denoising effect is not good. In this paper, a total variation image denoising method based on the wavelet semi-soft threshold is proposed. First, the image is decomposed using the wavelet method and the semi-soft threshold method is used to denoise in the high layer. Then, the wavelet coefficients are used to reconstruct the image. The high-frequency components of the first layer are denoised using the total variation method. The wavelet coefficients of the layers reconstruct the image after denoising. The experimental results demonstrate that the proposed method has a higher PSNR (Peak signal to noise ratio) than other methods, and it can more effectively preserve image detail while the image is denoised.
{"title":"Image Denoising Based on the Wavelet Semi-soft Threshold and Total Variation","authors":"Yu-Qing Zhang, Ning He, Xue-Yan Zhen, Xin-dong Sun","doi":"10.1109/ICVISP.2017.16","DOIUrl":"https://doi.org/10.1109/ICVISP.2017.16","url":null,"abstract":"The wavelet threshold denoising method has some defects. For example, the hard threshold function has no continuity at the threshold, which causes the Gibbs ringing effect. The soft threshold is relatively smooth, but the image is blurred. Image denoising based on total variation (TV) can effectively preserve the edge detail of the image, but in the smooth area, the denoising effect is not good. In this paper, a total variation image denoising method based on the wavelet semi-soft threshold is proposed. First, the image is decomposed using the wavelet method and the semi-soft threshold method is used to denoise in the high layer. Then, the wavelet coefficients are used to reconstruct the image. The high-frequency components of the first layer are denoised using the total variation method. The wavelet coefficients of the layers reconstruct the image after denoising. The experimental results demonstrate that the proposed method has a higher PSNR (Peak signal to noise ratio) than other methods, and it can more effectively preserve image detail while the image is denoised.","PeriodicalId":404467,"journal":{"name":"2017 International Conference on Vision, Image and Signal Processing (ICVISP)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126514969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
By building a nonlinear function relationship between μ and the error signal e(n), this paper presents a new variable step size LMS(Least-Mean-Square)adaptive filtering algorithm, and analyzes the algorithm with various parameters α and β. This step size algorithm avoids the shortage of adjusting step size of SVSLMS (variable step size LMS based on Sigmoid function). Also in the process of the adaptive steady state it has the virtue of e(n) slightly changing close to zero. Theoretical analysis and computer simulations show that with the proposed algorithm, convergence rate can be improved than the former.
{"title":"New LMS Adaptive Filtering Algorithm with Variable Step Size","authors":"Zhang Yuan, Xiang Songtao","doi":"10.1109/ICVISP.2017.11","DOIUrl":"https://doi.org/10.1109/ICVISP.2017.11","url":null,"abstract":"By building a nonlinear function relationship between μ and the error signal e(n), this paper presents a new variable step size LMS(Least-Mean-Square)adaptive filtering algorithm, and analyzes the algorithm with various parameters α and β. This step size algorithm avoids the shortage of adjusting step size of SVSLMS (variable step size LMS based on Sigmoid function). Also in the process of the adaptive steady state it has the virtue of e(n) slightly changing close to zero. Theoretical analysis and computer simulations show that with the proposed algorithm, convergence rate can be improved than the former.","PeriodicalId":404467,"journal":{"name":"2017 International Conference on Vision, Image and Signal Processing (ICVISP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116240835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Camera calibration is a widely covered and wellknown topic, which has been discussed and well described in many publications. However, the detection of the corresponding calibration markers can be problematic if the imaging setup considers a very short working distance, a huge magnification and special lighting setups, which is the case in almost every industrial inspection system, especially in surface inspection. Low-cost calibration targets can have poor quality in terms of surface homogeneity, resulting in reflection and illumination artifacts. In this paper, we present a distance transform based approach for detecting calibration markers of those targets. As an example application, the typical setup of a surface inspection system for printed circuit boards is used. This approach ensures a built-in calibration process without the need of changing the imaging setup.
{"title":"Low Cost Target Design and Detection for Camera Calibration in Image Based Close Range Inspection Applications","authors":"D. Heinemann, D. Baumgarten, S. Knabner","doi":"10.1109/ICVISP.2017.18","DOIUrl":"https://doi.org/10.1109/ICVISP.2017.18","url":null,"abstract":"Camera calibration is a widely covered and wellknown topic, which has been discussed and well described in many publications. However, the detection of the corresponding calibration markers can be problematic if the imaging setup considers a very short working distance, a huge magnification and special lighting setups, which is the case in almost every industrial inspection system, especially in surface inspection. Low-cost calibration targets can have poor quality in terms of surface homogeneity, resulting in reflection and illumination artifacts. In this paper, we present a distance transform based approach for detecting calibration markers of those targets. As an example application, the typical setup of a surface inspection system for printed circuit boards is used. This approach ensures a built-in calibration process without the need of changing the imaging setup.","PeriodicalId":404467,"journal":{"name":"2017 International Conference on Vision, Image and Signal Processing (ICVISP)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124131128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Plants from places with tropical climates need higher humidity than those native to arid regions. Most greenhouse crops prefer relative humidity between 70% and 80% [1]. However, the ideal relative humidity also depends on the temperature and plants require a higher humidity when the temperature is high and a lower humidity when it is low. Nonetheless, instead of relative humidity, the more accurate way to express the driving force of water loss from a leaf is Vapor Pressure Deficit (VPD). Its value is independent of temperature. VPD is the difference between the amount of moisture in the air and how much moisture the air could potentially hold when it is saturated. The objective of this study is to monitor air VPD in a tropical lowland shelter-house or greenhouse. A custom-designed real-time Data Acquisition system with an Arduino based microcontroller, touch screen panel and sensors for monitoring aerial parameters and soil moisture were developed, calibrated and tested. The watering system, lighting control system, ventilation and the temperature sensors are the main fundamental components of the Greenhouse prototype which bring controllable factors to monitor and manipulate the VPD, thus, giving lighting and comfort to the general atmosphere. The effectiveness of the unmanned control system were tested and monitored apropos to manual scenario and processes of maintaining an acceptable greenhouse atmosphere. The prototype was successfully used for VPD monitoring and prediction based on temperature, moisture and relative humidity inputs. In a week test, the gathered data were statistically analyzed and different means from a normal distribution were rejected at any significant level. The result of this study can be used in further studies such as decision support systems' database for controlling and maintaining tropical lowland plant production environments.
{"title":"Utilizing a Greenhouse Activities Streamlining System Towards Accurate VPD Monitoring for Tropical Plants","authors":"Hernan S. Alar, Danilo C. Sabado","doi":"10.1109/ICVISP.2017.15","DOIUrl":"https://doi.org/10.1109/ICVISP.2017.15","url":null,"abstract":"Plants from places with tropical climates need higher humidity than those native to arid regions. Most greenhouse crops prefer relative humidity between 70% and 80% [1]. However, the ideal relative humidity also depends on the temperature and plants require a higher humidity when the temperature is high and a lower humidity when it is low. Nonetheless, instead of relative humidity, the more accurate way to express the driving force of water loss from a leaf is Vapor Pressure Deficit (VPD). Its value is independent of temperature. VPD is the difference between the amount of moisture in the air and how much moisture the air could potentially hold when it is saturated. The objective of this study is to monitor air VPD in a tropical lowland shelter-house or greenhouse. A custom-designed real-time Data Acquisition system with an Arduino based microcontroller, touch screen panel and sensors for monitoring aerial parameters and soil moisture were developed, calibrated and tested. The watering system, lighting control system, ventilation and the temperature sensors are the main fundamental components of the Greenhouse prototype which bring controllable factors to monitor and manipulate the VPD, thus, giving lighting and comfort to the general atmosphere. The effectiveness of the unmanned control system were tested and monitored apropos to manual scenario and processes of maintaining an acceptable greenhouse atmosphere. The prototype was successfully used for VPD monitoring and prediction based on temperature, moisture and relative humidity inputs. In a week test, the gathered data were statistically analyzed and different means from a normal distribution were rejected at any significant level. The result of this study can be used in further studies such as decision support systems' database for controlling and maintaining tropical lowland plant production environments.","PeriodicalId":404467,"journal":{"name":"2017 International Conference on Vision, Image and Signal Processing (ICVISP)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124923806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aiming at the shortcomings that the gravitational search algorithm (GSA) is easy to fall into the local optima, this paper proposes a simplified gravitational search algorithm (SGSA). This improved gravitational search algorithm has the characteristics of faster optimization process and better convergence accuracy for solving unconstrained optimization problems. In the search process, SGSA discards the velocity and only performs the particles' position update including the particles acceleration. Ten benchmark functions are used to verify the performance of the SGSA algorithm, and the experimental results show that SGSA is better than the other four approaches with different improvement strategies for most cases.
{"title":"A Simplified and Efficient Gravitational Search Algorithm for Unconstrained Optimization Problems","authors":"Xin Zhang, D. Zou, Xin Shen","doi":"10.1109/ICVISP.2017.14","DOIUrl":"https://doi.org/10.1109/ICVISP.2017.14","url":null,"abstract":"Aiming at the shortcomings that the gravitational search algorithm (GSA) is easy to fall into the local optima, this paper proposes a simplified gravitational search algorithm (SGSA). This improved gravitational search algorithm has the characteristics of faster optimization process and better convergence accuracy for solving unconstrained optimization problems. In the search process, SGSA discards the velocity and only performs the particles' position update including the particles acceleration. Ten benchmark functions are used to verify the performance of the SGSA algorithm, and the experimental results show that SGSA is better than the other four approaches with different improvement strategies for most cases.","PeriodicalId":404467,"journal":{"name":"2017 International Conference on Vision, Image and Signal Processing (ICVISP)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128400860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
While much progress has been achieved in the field of content-based image retrieval (CBIR), almost all CBIR techniques operate on pixel data although virtually all images are stored in compressed form. In this invited paper, we present efficient and effective CBIR techniques that operate directly in the compressed domain and thus do not require full decompression for feature extraction. In particular, we explore compressed domain techniques for JPEG images and show how CBIR features can be extracted from DCT coefficients, from differentially coded DC data, and from optimised Huffman and quantisation tables that are stored in the JPEG headers.
{"title":"Fast Compressed Domain JPEG Image Retrieval","authors":"G. Schaefer","doi":"10.1109/ICVISP.2017.29","DOIUrl":"https://doi.org/10.1109/ICVISP.2017.29","url":null,"abstract":"While much progress has been achieved in the field of content-based image retrieval (CBIR), almost all CBIR techniques operate on pixel data although virtually all images are stored in compressed form. In this invited paper, we present efficient and effective CBIR techniques that operate directly in the compressed domain and thus do not require full decompression for feature extraction. In particular, we explore compressed domain techniques for JPEG images and show how CBIR features can be extracted from DCT coefficients, from differentially coded DC data, and from optimised Huffman and quantisation tables that are stored in the JPEG headers.","PeriodicalId":404467,"journal":{"name":"2017 International Conference on Vision, Image and Signal Processing (ICVISP)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129668987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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