Image enhancement technology plays a very important role to improve image quality in image processing. By enhancing some information and restraining other information selectively, it can improve image visual effect. T...Image enhancement technology plays a very important role to improve image quality in image processing. By enhancing some information and restraining other information selectively, it can improve image visual effect. The objective of this work is to implement the image enhancement to gray scale images using different techniques. After the fundamental methods of image enhancement processing are demonstrated, image enhancement algorithms based on space and frequency domains are systematically investigated and compared. The advantage and defect of the above-mentioned algorithms are analyzed. The algorithms of wavelet based image enhancement are also deduced and generalized. Wavelet transform modulus maxima(WTMM) is a method for detecting the fractal dimension of a signal, it is well used for image enhancement. The image techniques are compared by using the mean(μ),standard deviation(?), mean square error(MSE) and PSNR(peak signal to noise ratio). A group of experimental results demonstrate that the image enhancement algorithm based on wavelet transform is effective for image de-noising and enhancement. Wavelet transform modulus maxima method is one of the best methods for image enhancement.展开更多
由于图像获取设备、大气环境等多种因素的影响,致使景观图像存在高频细节模糊、人眼难以分辨细节信息等现象。为了解决上述问题,提出基于人眼视觉特性的景观图像高频细节增强方法。划分景观图像视觉区域,提取景观图像视觉显著区域。应...由于图像获取设备、大气环境等多种因素的影响,致使景观图像存在高频细节模糊、人眼难以分辨细节信息等现象。为了解决上述问题,提出基于人眼视觉特性的景观图像高频细节增强方法。划分景观图像视觉区域,提取景观图像视觉显著区域。应用双边滤波算法剥离出高频细节区域的景观图像。利用改进自适应直方图均衡化算法(Improved Adaptively Increasing the Value of Histogram Equalization, IAIVHE)重新定义景观图像概率密度函数,通过累积映射实现景观图像高频细节的增强。实验数据显示:提出方法获得的信息熵最大值为8.45,峰值信噪比数值最大值为22.48 dB,证实了提出方法高频细节增强效果更佳。展开更多
基金Projects(61376076,61274026,61377024)supported by the National Natural Science Foundation of ChinaProjects(12C0108,13C321)supported by the Scientific Research Fund of Hunan Provincial Education Department,ChinaProjects(2013FJ2011,2014FJ2017,2013FJ4232)supported by the Science and Technology Plan Foundation of Hunan Province,China
文摘Image enhancement technology plays a very important role to improve image quality in image processing. By enhancing some information and restraining other information selectively, it can improve image visual effect. The objective of this work is to implement the image enhancement to gray scale images using different techniques. After the fundamental methods of image enhancement processing are demonstrated, image enhancement algorithms based on space and frequency domains are systematically investigated and compared. The advantage and defect of the above-mentioned algorithms are analyzed. The algorithms of wavelet based image enhancement are also deduced and generalized. Wavelet transform modulus maxima(WTMM) is a method for detecting the fractal dimension of a signal, it is well used for image enhancement. The image techniques are compared by using the mean(μ),standard deviation(?), mean square error(MSE) and PSNR(peak signal to noise ratio). A group of experimental results demonstrate that the image enhancement algorithm based on wavelet transform is effective for image de-noising and enhancement. Wavelet transform modulus maxima method is one of the best methods for image enhancement.
文摘由于图像获取设备、大气环境等多种因素的影响,致使景观图像存在高频细节模糊、人眼难以分辨细节信息等现象。为了解决上述问题,提出基于人眼视觉特性的景观图像高频细节增强方法。划分景观图像视觉区域,提取景观图像视觉显著区域。应用双边滤波算法剥离出高频细节区域的景观图像。利用改进自适应直方图均衡化算法(Improved Adaptively Increasing the Value of Histogram Equalization, IAIVHE)重新定义景观图像概率密度函数,通过累积映射实现景观图像高频细节的增强。实验数据显示:提出方法获得的信息熵最大值为8.45,峰值信噪比数值最大值为22.48 dB,证实了提出方法高频细节增强效果更佳。
