根据以前有关图像对比度增强技术的研发成果加以修正改进,提出一种实际且快速的图像对比度增强方法(practical and efficient contrast enhancement method,PECE),此方法不仅可使增强后的清晰图像更趋近于原始图像的亮度,更能简化实际...根据以前有关图像对比度增强技术的研发成果加以修正改进,提出一种实际且快速的图像对比度增强方法(practical and efficient contrast enhancement method,PECE),此方法不仅可使增强后的清晰图像更趋近于原始图像的亮度,更能简化实际电路让用户易于操作调整.通过现场可编程逻辑门阵列(field-programmable gate array,FPGA)的硬件实现验证,可发现此硬件电路可达到43.6MSps(million sample per second),其处理速度为常规清晰度电视(standard definition television,SDTV)NTSC720×480i规格的3.23倍及增强清晰度电视(enhanced digital television,EDTV)NTSC720×480p规格的1.61倍.为了能更客观公正地观察PECE及各种图像对比度增强技术的效果及优缺点,综合了各种主客观评量标准,藉由对多种不同技术的全面化评估分析,各种技术的许多效能特色及优劣也在此一评估程序中显现.展开更多
A new improved algorithm of histogram equalization was discussed and actualized by analyzing the traditional algorithm. This improved algorithm has better effect than the traditional one, especially it is used to proc...A new improved algorithm of histogram equalization was discussed and actualized by analyzing the traditional algorithm. This improved algorithm has better effect than the traditional one, especially it is used to process poor quality images.展开更多
This paper proposes an algorithm that extracts features of back side of the vehicle and detects the front vehicle in real-time by local feature tracking of vehicle in the continuous images.The features in back side of...This paper proposes an algorithm that extracts features of back side of the vehicle and detects the front vehicle in real-time by local feature tracking of vehicle in the continuous images.The features in back side of the vehicle are vertical and horizontal edges,shadow and symmetry.By comparing local features using the fixed window size,the features in the continuous images are tracked.A robust and fast Haarlike mask is used for detecting vertical and horizontal edges,and shadow is extracted by histogram equalization,and the sliding window method is used to compare both side templates of the detected candidates for extracting symmetry.The features for tracking are vertical edges,and histogram is used to compare location of the peak and magnitude of the edges.The method using local feature tracking in the continuous images is more robust for detecting vehicle than the method using single image,and the proposed algorithm is evaluated by continuous images obtained on the expressway and downtown.And it can be performed on real-time through applying it to the embedded system.展开更多
Aiming at the problem in infrared image enhancement,a new method is given based on histogram.Using the gray characteristics of target,the upper-bound threshold is selected adaptively and the histogram is processed by ...Aiming at the problem in infrared image enhancement,a new method is given based on histogram.Using the gray characteristics of target,the upper-bound threshold is selected adaptively and the histogram is processed by the threshold.After choosing the gray transform function based on the gray level distribution of image,the gray transformation is done during histogram equalization.Finally,the enhanced image is obtained.Compared with histogram equalization(HE),histogram double equalization(HDE) and plateau histogram equalization(PE),the simulation results demonstrate that the image enhancement effect of this method has obvious superiority.At the same time,its operation speed is fast and real-time ability is excellent.展开更多
文摘根据以前有关图像对比度增强技术的研发成果加以修正改进,提出一种实际且快速的图像对比度增强方法(practical and efficient contrast enhancement method,PECE),此方法不仅可使增强后的清晰图像更趋近于原始图像的亮度,更能简化实际电路让用户易于操作调整.通过现场可编程逻辑门阵列(field-programmable gate array,FPGA)的硬件实现验证,可发现此硬件电路可达到43.6MSps(million sample per second),其处理速度为常规清晰度电视(standard definition television,SDTV)NTSC720×480i规格的3.23倍及增强清晰度电视(enhanced digital television,EDTV)NTSC720×480p规格的1.61倍.为了能更客观公正地观察PECE及各种图像对比度增强技术的效果及优缺点,综合了各种主客观评量标准,藉由对多种不同技术的全面化评估分析,各种技术的许多效能特色及优劣也在此一评估程序中显现.
文摘A new improved algorithm of histogram equalization was discussed and actualized by analyzing the traditional algorithm. This improved algorithm has better effect than the traditional one, especially it is used to process poor quality images.
基金supported by the Brain Korea 21 Project in 2011 and MKE(The Ministry of Knowledge Economy),Korea,under the ITRC(Infor mation Technology Research Center)support program supervised by the NIPA(National IT Industry Promotion Agency)(NIPA-2011-C1090-1121-0010)
文摘This paper proposes an algorithm that extracts features of back side of the vehicle and detects the front vehicle in real-time by local feature tracking of vehicle in the continuous images.The features in back side of the vehicle are vertical and horizontal edges,shadow and symmetry.By comparing local features using the fixed window size,the features in the continuous images are tracked.A robust and fast Haarlike mask is used for detecting vertical and horizontal edges,and shadow is extracted by histogram equalization,and the sliding window method is used to compare both side templates of the detected candidates for extracting symmetry.The features for tracking are vertical edges,and histogram is used to compare location of the peak and magnitude of the edges.The method using local feature tracking in the continuous images is more robust for detecting vehicle than the method using single image,and the proposed algorithm is evaluated by continuous images obtained on the expressway and downtown.And it can be performed on real-time through applying it to the embedded system.
文摘Aiming at the problem in infrared image enhancement,a new method is given based on histogram.Using the gray characteristics of target,the upper-bound threshold is selected adaptively and the histogram is processed by the threshold.After choosing the gray transform function based on the gray level distribution of image,the gray transformation is done during histogram equalization.Finally,the enhanced image is obtained.Compared with histogram equalization(HE),histogram double equalization(HDE) and plateau histogram equalization(PE),the simulation results demonstrate that the image enhancement effect of this method has obvious superiority.At the same time,its operation speed is fast and real-time ability is excellent.
