The Experts below are selected from a list of 61305 Experts worldwide ranked by ideXlab platform
Carlos Vrancken - One of the best experts on this subject based on the ideXlab platform.
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vein imaging a new method of near infrared imaging where a Processed Image is projected onto the skin for the enhancement of vein treatment
Dermatologic Surgery, 2006Co-Authors: Roberto Kasuo Miyake, Herbert D Zeman, Flavio Henrique Duarte, Rodrigo Kikuchi, Eduardo Ramacciotti, Gunnar Lovhoiden, Carlos VranckenAbstract:BACKGROUND A new noninvasive vein imaging device initially developed for phlebotomy has been tested for the first time for vein treatment. This unique device captures a near infrared vein Image, processes it, and projects it onto the skin using green light. OBJECTIVE To perform the first clinical tests of the device in phlebology. METHODS AND MATERIALS A pilot study on 23 subjects with varicose veins and telangiectasias was performed. The VeinViewer prototype (V-V-P; Luminetx Corp., Memphis, TN) was tested in five situations: diagnosing feeder veins with the V-V-P, comparison between the V-V-P and ultrasound, marking varicose veins with or without the device, phlebectomy using the V-V-P, and the use of laser and sclerotherapy guided by the V-V-P. RESULTS One hundred percent of subjects had feeder veins identified by the V-V-P. The ultrasound machine detected fewer feeder veins than the V-V-P, and the device identified more veins than the naked eye in all subjects. The V-V-P could help in finding feeder veins during phlebectomy and in guiding laser and sclerotherapy treatments. CONCLUSIONS The device could identify veins that were invisible to the naked eye and too shallow for ultrasound detection. The V-V-P may help find feeder veins and may also help various types of vein treatments. Herbert David Zeman, Gunnar Lovhoiden, and Carlos Vrancken are founders, shareholders, and employees of Luminetx Corp., the manufacturer of the VeinViewer
Zhang Zhi-xiong - One of the best experts on this subject based on the ideXlab platform.
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Median Filtered Image Quality Enhancement and Anti-Forensics via Variational Deconvolution
IEEE Transactions on Information Forensics and Security, 2015Co-Authors: Wei Fan, Francois Cayre, Kai Wang, Zhang Zhi-xiongAbstract:Median filtering enjoys its popularity as a widely adopted Image denoising and smoothing tool. It is also used by anti-forensic researchers in helping disguise traces of other Image processing operations, e.g., Image resampling and JPEG compression. This paper proposes an Image variational deconvolution framework for both quality enhancement and anti-forensics of median filtered (MF) Images. The proposed optimization-based framework consists of a convolution term, a fidelity term with respect to the MF Image, and a prior term. The first term is for the approximation of the median filtering process, using a convolution kernel. The second fidelity term keeps the Processed Image to some extent still close to the MF Image, retaining some denoising or other Image processing artifact hiding effects. Using the generalized Gaussian as the distribution model, the last Image prior term regularizes the pixel value derivative of the obtained Image so that its distribution resembles the original one. Our method can serve as an MF Image quality enhancement technique, whose efficacy is validated by experiments conducted on MF Images which have been previously “salt & pepper” noised. Using another parameter setting and with an additional pixel value perturbation procedure, the proposed method outperforms the state-of-the-art median filtering anti-forensics, with a better forensic undetectability against existing detectors as well as a higher visual quality of the Processed Image. Furthermore, the feasibility of concealing Image resampling traces and JPEG blocking artifacts is demonstrated by experiments, using the proposed median filtering anti-forensic method.
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Median Filtered Image Quality Enhancement and Anti-Forensics via Variational Deconvolution
IEEE Transactions on Information Forensics and Security, 2015Co-Authors: Wei Fan, Francois Cayre, Kai Wang, Zhang Zhi-xiongAbstract:Median filtering enjoys its popularity as a widely adopted Image denoising and smoothing tool. It is also used by anti-forensic researchers in helping disguise traces of other Image processing operations, e.g., Image resampling and JPEG compression. This paper proposes an Image variational deconvolution framework for both quality enhancement and anti-forensics of median filtered (MF) Images. The proposed optimization-based framework consists of a convolution term, a fidelity term with respect to the MF Image, and a prior term. The first term is for the approximation of the median filtering process, using a convolution kernel. The second fidelity term keeps the Processed Image to some extent still close to the MF Image, retaining some denoising or other Image processing artifact hiding effects. Using the generalized Gaussian as the distribution model, the last Image prior term regularizes the pixel value derivative of the obtained Image so that its distribution resembles the original one. Our method can serve as an MF Image quality enhancement technique, whose efficacy is validated by experiments conducted on MF Images which have been previously “salt & pepper” noised. Using another parameter setting and with an additional pixel value perturbation procedure, the proposed method outperforms the state-of-the-art median filtering anti-forensics, with a better forensic undetectability against existing detectors as well as a higher visual quality of the Processed Image. Furthermore, the feasibility of concealing Image resampling traces and JPEG blocking artifacts is demonstrated by experiments, using the proposed median filtering anti-forensic method.
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JPEG anti-forensics using non-parametric DCT quantization noise estimation and natural Image statistics
2013Co-Authors: Wei Fan, Francois Cayre, Kai Wang, Zhang Zhi-xiongAbstract:This paper proposes an anti-forensic method that disguises the footprints left by JPEG compression, whose objective is to fool existing JPEG forensic detectors while keeping a high visual quality of the Processed Image. First we examine the reliability of existing detectors and point out the potential vulnerability of the quantization table estimation based detector. Then we construct a new, non-parametric method to DCT histogram smoothing without any histogram statistical model. Finally JPEG forensic detectors are fooled by optimizing an objective function considering both the anti-forensic terms and a natural Image statistical model. We show that compared to the state-of-the-art methods the proposed JPEG anti-forensic method is able to achieve a higher Image visual quality while being undetectable under existing detectors.
Roberto Kasuo Miyake - One of the best experts on this subject based on the ideXlab platform.
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vein imaging a new method of near infrared imaging where a Processed Image is projected onto the skin for the enhancement of vein treatment
Dermatologic Surgery, 2006Co-Authors: Roberto Kasuo Miyake, Herbert D Zeman, Flavio Henrique Duarte, Rodrigo Kikuchi, Eduardo Ramacciotti, Gunnar Lovhoiden, Carlos VranckenAbstract:BACKGROUND A new noninvasive vein imaging device initially developed for phlebotomy has been tested for the first time for vein treatment. This unique device captures a near infrared vein Image, processes it, and projects it onto the skin using green light. OBJECTIVE To perform the first clinical tests of the device in phlebology. METHODS AND MATERIALS A pilot study on 23 subjects with varicose veins and telangiectasias was performed. The VeinViewer prototype (V-V-P; Luminetx Corp., Memphis, TN) was tested in five situations: diagnosing feeder veins with the V-V-P, comparison between the V-V-P and ultrasound, marking varicose veins with or without the device, phlebectomy using the V-V-P, and the use of laser and sclerotherapy guided by the V-V-P. RESULTS One hundred percent of subjects had feeder veins identified by the V-V-P. The ultrasound machine detected fewer feeder veins than the V-V-P, and the device identified more veins than the naked eye in all subjects. The V-V-P could help in finding feeder veins during phlebectomy and in guiding laser and sclerotherapy treatments. CONCLUSIONS The device could identify veins that were invisible to the naked eye and too shallow for ultrasound detection. The V-V-P may help find feeder veins and may also help various types of vein treatments. Herbert David Zeman, Gunnar Lovhoiden, and Carlos Vrancken are founders, shareholders, and employees of Luminetx Corp., the manufacturer of the VeinViewer
Gunnar Lovhoiden - One of the best experts on this subject based on the ideXlab platform.
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vein imaging a new method of near infrared imaging where a Processed Image is projected onto the skin for the enhancement of vein treatment
Dermatologic Surgery, 2006Co-Authors: Roberto Kasuo Miyake, Herbert D Zeman, Flavio Henrique Duarte, Rodrigo Kikuchi, Eduardo Ramacciotti, Gunnar Lovhoiden, Carlos VranckenAbstract:BACKGROUND A new noninvasive vein imaging device initially developed for phlebotomy has been tested for the first time for vein treatment. This unique device captures a near infrared vein Image, processes it, and projects it onto the skin using green light. OBJECTIVE To perform the first clinical tests of the device in phlebology. METHODS AND MATERIALS A pilot study on 23 subjects with varicose veins and telangiectasias was performed. The VeinViewer prototype (V-V-P; Luminetx Corp., Memphis, TN) was tested in five situations: diagnosing feeder veins with the V-V-P, comparison between the V-V-P and ultrasound, marking varicose veins with or without the device, phlebectomy using the V-V-P, and the use of laser and sclerotherapy guided by the V-V-P. RESULTS One hundred percent of subjects had feeder veins identified by the V-V-P. The ultrasound machine detected fewer feeder veins than the V-V-P, and the device identified more veins than the naked eye in all subjects. The V-V-P could help in finding feeder veins during phlebectomy and in guiding laser and sclerotherapy treatments. CONCLUSIONS The device could identify veins that were invisible to the naked eye and too shallow for ultrasound detection. The V-V-P may help find feeder veins and may also help various types of vein treatments. Herbert David Zeman, Gunnar Lovhoiden, and Carlos Vrancken are founders, shareholders, and employees of Luminetx Corp., the manufacturer of the VeinViewer
Eduardo Ramacciotti - One of the best experts on this subject based on the ideXlab platform.
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vein imaging a new method of near infrared imaging where a Processed Image is projected onto the skin for the enhancement of vein treatment
Dermatologic Surgery, 2006Co-Authors: Roberto Kasuo Miyake, Herbert D Zeman, Flavio Henrique Duarte, Rodrigo Kikuchi, Eduardo Ramacciotti, Gunnar Lovhoiden, Carlos VranckenAbstract:BACKGROUND A new noninvasive vein imaging device initially developed for phlebotomy has been tested for the first time for vein treatment. This unique device captures a near infrared vein Image, processes it, and projects it onto the skin using green light. OBJECTIVE To perform the first clinical tests of the device in phlebology. METHODS AND MATERIALS A pilot study on 23 subjects with varicose veins and telangiectasias was performed. The VeinViewer prototype (V-V-P; Luminetx Corp., Memphis, TN) was tested in five situations: diagnosing feeder veins with the V-V-P, comparison between the V-V-P and ultrasound, marking varicose veins with or without the device, phlebectomy using the V-V-P, and the use of laser and sclerotherapy guided by the V-V-P. RESULTS One hundred percent of subjects had feeder veins identified by the V-V-P. The ultrasound machine detected fewer feeder veins than the V-V-P, and the device identified more veins than the naked eye in all subjects. The V-V-P could help in finding feeder veins during phlebectomy and in guiding laser and sclerotherapy treatments. CONCLUSIONS The device could identify veins that were invisible to the naked eye and too shallow for ultrasound detection. The V-V-P may help find feeder veins and may also help various types of vein treatments. Herbert David Zeman, Gunnar Lovhoiden, and Carlos Vrancken are founders, shareholders, and employees of Luminetx Corp., the manufacturer of the VeinViewer
