中国科学院机构知识库网格系统: 检索

Image enhancement for outdoor long-range surveillance using IQ-learning multiscale Retinex 期刊论文 OAI收割
IET IMAGE PROCESSING, 2017, 卷号: 11, 期号: 9, 页码: 786-795
作者: Liu, Haoting; Lu, Hanqing; Zhang, Yu

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收藏 | 浏览/下载：46/0 | 提交时间：2018/03/03

Image Enhancement Video Surveillance Image Restoration Wavelet Transforms Neural Nets Backpropagation Outdoor Long-range Surveillance Blind Iq-learning Multiscale Retinex Visible Light Camera-based Image Enhancement Method Blind Image Quality Learning Multiscale Retinex Image Brightness Degree Image Region Contrast Degree Image Edge Blur Degree Image Colour Quality Degree Image Noise Degree Wavelet Transform Multiscale Retinex Wt_msr Multiple Optimal Control Parameter Mocp Backpropagation Neural Network Bpnn

A Local Image Enhancement Method Based on Adjacent Pixel Gray Order-preserving Principle 会议论文 OAI收割
5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013
作者: Fan XP(范晓鹏); Cai TF(蔡铁峰); Zhu F(朱枫)

收藏 | 浏览/下载：35/0 | 提交时间：2013/12/26

The paper is committed in local image enhancement. At first, the authors propose an adjacent pixel gray order-preserving principle. Adjacent pixel gray order-preserving principle is the basement of local enhancement method which ensures that there is no distortion in processed image. And then, the authors propose an iterative algorithm, which could stretch gray-scale difference of adjacent pixels in premise of not changing gray magnitude relationship between adjacent pixels. At last, the authors propose a totally reference image quality assessment method based on adjacent pixel gray order-preserving principle. According to this quality assessment method, the authors made a set of comparative experiments with local histogram equalization and method. Experimental results show that the proposed enhancement method can get higher score and provide better visual effects, fully demonstrating its effectiveness. According to this quality assessment method, the proposed method shows a good effectiveness, through experimental results and comparison with local histogram equalization method.

The application of adaptive enhancement algorithm based on gray entropy in mammary gland CR image (EI CONFERENCE) 会议论文 OAI收割
2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012, April 21, 2012 - April 23, 2012, Three Gorges, China
Zhang M.-H.; Zhang Y.-Y.

收藏 | 浏览/下载：34/0 | 提交时间：2013/03/25

Mammary gland is composed entirely of soft tissue with approximate density therefore mammary gland CR medicine radiation image presents a low contrast and slight difference changes may be a manifestation of tumor so it is necessary to enhance mammary gland CR image to improve its visual quality in order to meet the demands of doctor's clinical diagnosis. However the general enhancement algorithms over enhance the contrast and noise due to image details lost aiming at the defects a mammary gland CR medicine image adaptive enhancement arithmetic based on image gray entropy is put forward. The arithmetic adapts dizzy image to magnify selected spatial frequency response in order to enhance the edge details of mammary gland CR images. It can adjust weighted factor K according to image gray characteristics namely pixel gray entropy. Experiments results demonstrate that mammary gland CR image enhanced by the algorithm has abundant details and high signal-to-noise ratio moreover CR image enhanced has good visual effect. So the method is effective and fit for enhancing CR medical radiation image edge details. 2012 IEEE.

Application of adaptive enhancement means in head and neck CR image (EI CONFERENCE) 会议论文 OAI收割
2012 3rd International Conference on Information Technology for Manufacturing Systems, ITMS 2012, September 8, 2012 - September 9, 2012, Qingdao, China
Zhang M.-H.; Zhang Y.-Y.

收藏 | 浏览/下载：36/0 | 提交时间：2013/03/25

Digital CR of head and neck overcomes the disadvantage of regular X-ray radiography which can not reveal bone and soft tissue position deficiency in one exposing and reduces the Xray radiation dose. Meanwhile various factors cause the decline of image quality and images must be enhanced in order to meet demands of doctor's clinical diagnosis. The general enhancement algorithms don't consider body's structure differences and density characteristics. A new adaptive CR enhancement algorithm was proposed in this article and head and neck CR images were processed with this method and compared with linear unsharp masking method. The experiment proves that the details of CR image enhanced were abundant and enhanced CR image had good visual effect SNR was high as well as detail variance /background variance (DV/BV) indicating that this algorithm is suitable for head and neck CR medical images. (2012) Trans Tech Publications Switzerland.

The research of digltal CR medicine image adapitive enhancement method (EI CONFERENCE) 会议论文 OAI收割
4th International Conference on Mechanical and Electrical Technology, ICMET 2012, July 24, 2012 - July 26, 2012, Kuala Lumpur, Malaysia
Ming-Hui Z.; Yao-Yu Z.

收藏 | 浏览/下载：63/0 | 提交时间：2013/03/25

Digital CR medicine radiation image is in doctor's favor and has became medicine imaging technology new hot spot because of its high gray contrast powerful computer disposal function little radiation dosage non-film diagnosis different area consultation. But degradation of digital X-ray medical image such as low contrast and blurring during radiographic imaging caused by complexity of body tissue and effects of X-ray scattering and electrical noise etc. can worsen the results of analysis and diagnosis. So it is usually needed that CR medicine image is enhanced to improve its vision quality and easy to doctor's more accurate diagnosis. The general enhancement algorithms over enhancing the contrast and lose image details aiming at the defects an enhancement algorithm for CR image is proposed based on the ratio of deviation to mean of domain. The arithmetic enhance CR image edge details by adjusting factor K based on the ratio of deviation to mean of domain of CR image. Experiment results demonstrate that the algorithm enhances CR image detail and CR image enhanced has good visual effect the adaptive enhancement method is fit for CR medicine image. (2012) Trans Tech Publications Switzerland.

An adaptive enhancement means adapt to CR medicine image (EI CONFERENCE) 会议论文 OAI收割
International Conference on Image Processing and Pattern Recognition in Industrial Engineering, August 7, 2010 - August 8, 2010, Xi'an, China
Zhang M.-H.; Zhang Y.-Y.

收藏 | 浏览/下载：27/0 | 提交时间：2013/03/25

It puts forward CR medicine image adaptive enhancement arithmetic based on the ratio of image variance to noise variance which can adjust factor K bases on CR image gray characteristic and enhance image detail and improve image diagnosis value. Experiment results demonstrate that the algorithm enhances CR image detail and the value of DV/BV was higher than the other algorithms moreover CR image enhanced has good visual effect the method is fit for edge detail enhancement of CR medicine radiation image. 2010 SPIE.

A nonlinear image enhancement algorithm based on partial differential equations (EI CONFERENCE) 会议论文 OAI收割
2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China
Han X.; Jian Z.

收藏 | 浏览/下载：22/0 | 提交时间：2013/03/25

Image enhancement and image de-noising have being the important research contents of image academic and engineering field and the partial differential equations have been widely applied to computer vision. The paper applies the thoughts of partial differential equations puts forward a new improved method of image enhancement. This method can enhance not only the dark images but also the bright images making the details hidden in the dark background and the bright background very clear. The application scope is wider and the visual effect is better. This paper uses the finite difference method to discrete the partial differential equations and combines with the heat equation. It calculates simple runs fast and provides a guarantee for real-time video image enhancement processing. 2010 IEEE.

Driving and image enhancement for CCD sensing image system (EI CONFERENCE) 会议论文 OAI收割
2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, July 9, 2010 - July 11, 2010, Chengdu, China
Zhang M.; Ren J.

收藏 | 浏览/下载：27/0 | 提交时间：2013/03/25

The paper designs a driving circuit of high sensitive wide dynamic for CCD sensing imaging system which adopts a Dalsa-made high resolution full-frame 33-mega pixels area CCD FTF5066M. Field Programmable Gate Array (FPGA) is used as the main device to accomplish the timing design of the circuits and power driver control of the sensor. By using the Correlated Double Sampling (CDS) technique the video noise is reduced and the SNR of the system is increased. The output rate of the imaging system designed with integrated chip can reach to 1.3 frames per second through bi-channel output. We use the histogram specification to adjust the brightness of the captured image. And then use the median filtering to suppress the noise. The traditional gray mean gradient (GMG) and the objective evaluation method based on Human Visual System (HVS) used to verify the effect of image enhancement. 2010 IEEE.

Cr image enhancement based on human visual characteristics (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Computer Design and Applications, ICCDA 2010, June 25, 2010 - June 27, 2010, Qinhuangdao, Hebei, China
Zhang M.-H.; Zhang Y.-Y.

收藏 | 浏览/下载：28/0 | 提交时间：2013/03/25

The characteristic of digital CR medicine radiation image has wide dynamic range abundant details and bad contrast so it is necessary to enhance CR image to the need of doctor diagnosis. But the general enhancement algorithms don't consider human visual characteristics so it puts forward CR medicine image adaptive enhancement algorithm combining the human visual property which is more sensitive to smooth area noise compared with detail area noise and makes image edge detail enhancement great in detail area and detail enhancement little in smooth area in which factor K is based on space change of image domain accordingly gaining non-linear enhancement edge details of CR image. Experiment results demonstrate that the algorithm enhances CR image detail and CR image enhanced has good visual effect so the method is fit for edge detail enhancement of CR medicine radiation image. 2010 IEEE.

Algorithm of image enhancement based on order morphology transformation (EI CONFERENCE) 会议论文 OAI收割
2009 International Forum on Information Technology and Applications, IFITA 2009, May 15, 2009 - May 17, 2009, Chengdu, China
作者: Liu Y.; Liu Y.; Liu Y.

收藏 | 浏览/下载：14/0 | 提交时间：2013/03/25

A method based Tsallis entropy and order morphology transform for gray image enhancement is proposed in this article. The order morphology transform method improves the evaluation guide of transform and chose the percentile value and structure B value by the Maximum Tsallis entropy of the area where the coefficient q is 0.8 enhances the gray image. Experiments show that the method enhances the image contrast and suppressing noise and extracting edge. The histogram and gray value show that the image contrast is improved. 2009 IEEE.