基于低照度三基色图像去噪及融合彩色图像增强方法研究

现有的各类彩色图像增强方法,主要用于对光照不均匀或弱光条件下已获取的彩色图像进行直接增强,而低照度彩色成像系统获取的彩色图像是由单独采集的三基色图像融合而成。为此提出了基于低照度三基色图像去噪及融合彩色图像增强方法。利用小波变换对低照度条件下独立采集的三基色图像进行去噪;然后将去噪后图像融合成彩色图像,将彩色图像由RGB颜色空间转换为HSV颜色空间;在HSV空间对V进行MSR增强,再对增强后的图像进行S调整;最后再将其转换回RGB颜色空间。采用客观评价方法对选取的去噪增强后图像进行了评价。结果表明:经过去噪和增强后的彩色图像在均值、方差和熵3项指标上均优于三基色直接融合的彩色图像,平均提高幅度为均值11.37%、方差8.46%、信息熵0.44%。该方法可移植到低照度彩色成像系统中,对成像质量的提升具有指导意义。     

Computer-generated holograms for producing fractal speckles

When a diffuser is illuminated by the coherent light with a negative power-law distribution, fractal speckles are produced in the far-field diffraction region. Fractal speckles have extremely long spatial correlation functions of the intensity distributions in comparison with ordinary speckles, which implies that they may extend measurement ranges in various metrological applications based on the spatial correlation of speckles. To have fractal speckles with satisfactory statistical properties, it is required to produce a power-law illumination profile with high quality. In this paper, we report on the computer-generated holograms for producing power-law intensities on the basis of the method of stationary phase, with the error-reduction algorithm combined with to suppress strong ringing of the intensity.     

Mechanism of speckle reduction in laser-microscope images using a rotating optical fiber

The reduction mechanism of speckles appearing in laser-microscope images is studied theoretically and experimentally when an object is illuminated by laser light through a rotating multimode optical fiber. The principle of the speckle reduction is based on independent addition of microscope images with boiling-like speckles as a result of the rotational motion of the optical fiber used for illumination. Especially, the speckle reduction is evaluated from first-order statistics of the speckle intensity in which its saturation effect is taken into consideration.     

基于相移结构光照明的浮雕成像技术研究

详细介绍了一种基于相移结构光照明的浮雕成像技术,对该成像技术的原理和成像特性进行了实验研究,并采用相移结构光照明的方法实现彩色浮雕成像。实验中,将多幅相移正弦条纹光场斜投射到被拍摄物体上,数码相机依次拍摄被照明的物体,再利用拍摄到的多幅相移图像,通过计算的方法重建出所需要的图像。理论分析和实验结果表明,相移结构光照明成像技术能有效地消去环境不均匀光照的影响,获取的反射率分布图像只与结构光照明有关,突显了斜投射照明所形成的阴影,图像的明暗变化反映出物体表面的法线变化,因而在视觉上形成了明显的浮雕效果。     

最近邻域与无邻域算法结合空间滤波实现显微光切片

运用最近邻域与无邻域算法,并结合空间滤波方法,可去除显微切层图像的离焦模糊成份,可获得高成像速度、高质量的显微光切片。对各种显微图像进行了光切片处理,并与由现有去卷积处理、结构光照明等方法获得的光切片图像进行了对比,验证了该算法在去除模糊信息方面有更好的效果,提高了图像处理效率,获得了令人满意的光切片图像。在此基础上研制出了显微光切片图像处理系统。运用最近邻与无最近邻算法,结合空间滤波方法,采用简便可调的卷积模糊算子代替点扩散函数的估计过程,图像处理方便快捷,可较好地去除离焦平面的模糊信息。     

基于四波段图像融合的彩色夜视方法研究

为了在低照度条件下获取目标的彩色图像,提高夜间对目标的识别能力,提出了基于四波段图像融合的彩色夜视方法.采用F-P滤光片设计出了透射中心在三基色光中心波长及近红外波段的四波段滤光片,在各个透射区域的平均透射率均达90%以上;将四波段滤光片设计成圆形滤色轮结构,用分光计测得了各波段滤光片的光谱透射性;对加入滤光片后的系统信噪比进行了分析和计算,分析结果表明加入滤光片不会引入噪声,计算结果表明加入蓝色、绿色、红色和近红外波段滤光片的成像系统的信噪比分别是原来单色微光夜视系统信噪比的19.59%、38.45%、47.28%和46.70%.借助国产超二代像增强器在微光实验室进行了四波段图像采集及彩色图像融合实验,实验时光照度分别为1×10~(-3)lx和1×10~(-1)lx,对获取的图像质量进行了评价.结果表明:在照度为1×10~(-3)lx时,融合的彩色图像在均值、方差和熵这三项指标上均优于过滤后的蓝色和绿色的单色图像,且由于彩色图像中利用了近红外图像进行增强,使得彩色图像亮度更高,颜色分辨性更好;在照度为1×10~(-1)lx时,融合后的彩色图像的信息熵比红、绿、蓝三种基色图像的大,彩色图像携带的信息量更大.本文的研究对彩色夜视成像系统的设计和研发具有借鉴和指导意义.     

The smoothing of electronic speckle pattern interferometric images

A simple method of smoothing electronic speckle pattern interferometric images is demonstrated. A new image is created from the original by assuming that the speckles can be modelled as multiplicative noise, and replacing each pixel by the variance of grey level intensities taken over a rectangular window. Results from several window sizes are presented. The amount of smoothing is estimated by inspection of the amount of noise left following the application of a fringe minima detection algorithm to the smoothed image.     

一种改进的夜间数字能见度测量方法

为降低背景光噪声对数字摄像法夜间能见度测量的不确定性影响,对双光源法能见度测量系统进行改进。该系统利用避光筒限制CCD相机视场角,拍摄2个位于不同距离的LED背光源,然后对摄取到的图像进行处理得到光源图像的灰度值,再根据阿拉德定律求得大气消光系数,计算出大气能见度值。通过在无背景光、有背景光未加避光筒和加避光筒3种条件下的比对实验,分析光源图像的灰度信息,并将实验结果进行处理,得出有避光筒和无避光筒时测得的能见度值与无背景光下测量结果的相关系数分别是0.911 3和0.322 7,均方根相对偏差分别是6.87% 和23.38%。结果表明:系统抑制背景光噪声的能力明显增强,能较准确地测量夜间能见度。     

基于照射_反射模型和有界运算的多谱段图像增强

根据多尺度照射_反射模型, 结合广义有界运算模型和引导滤波, 能够有效地解决多谱段降质图像的增强问题. 算法采用自适应的引导滤波核函数作为环绕函数, 估计反映图像整体结构的不同尺度的低频照射分量; 利用有界广义对数比(general log-radio, GLR)模型加法代替Retinex理论中的对数变换运算; 再由GLR模型减法去除照射分量, 将不同尺度的反射分量从原始图像中分割出来; 对不同尺度反射分量的有效信息采用有界GLR模型乘法和加法进行融合, 有效地避免光晕伪影现象及越界现象的发生, 得到多尺度反射分量图像, 即最终的增强图像. 通过对可见光波段的低照度图像和雾霾图像、红外图像、X光医学图像四组多谱段降质图像实验分析, 以对比度和信息熵作为评价指标, 与同类算法进行了图像增强效果的定性和定量对比, 结果表明本文算法增强后的图像纹理和边缘细节更加丰富、对比度更高、视觉效果更佳, 可广泛地应用于多种图像增强领域.     

Extremal Properties for Weakly Correlated Random Variables Arising in Speckle Patterns

Extremal properties of the statistics of speckle pattern are studied in the context of so-called “optically smoothed” light beams of laser-matter interaction. It is shown that the asymptotic statistics of the highest intensity in a speckle pattern, which can be associated with the most intense speckles, follows a Gumbel law, which is in agreement with numerical simulations. It is found that the probability density function of the most intense speckle peaks around the value corresponding to the logarithm of the number of speckles in the considered volume times the average intensity value of the speckle pattern. This result is of great interest for nonlinear processes, like instabilities, where extreme speckles play an important role.     

长时程双光子成像技术

双光子成像(Two-Photon Imaging)技术以其优越特性被广泛用于活细胞动态三维成像,但光功率极高的短脉冲光对焦平面荧光分子严重的光漂白极大地影响了双光子长时间成像的图像质量,针对双光子荧光漂白问题,本文提出一种优化光照的双光子(Optimized Lighting-Two Photon,OL-TP)成像技术。通过预扫描获取双光子图像分析高低阈值,以预设的高低阈值为标准优化一幅图像中不同区域的光照时长,利用扫描过程中记录的荧光信息和光照时间信息可以重建OL-TP图像,既保证信噪比又降低荧光漂白。重建的OL-TP图像与传统双光子图像基本一致,信噪比略有降低,但图像并未失真。对110 nm的荧光小球样本分别连续取30幅普通双光子和优化光照的双光子图像,到第30幅图时,重建后的优化光照双光子图像比普通双光子图像荧光漂白降低了28.86%。OL-TP通过优化光照时间大幅降低双光子成像的荧光漂白,使双光子荧光显微镜能够更好地对生物样本进行长时间观测。     

A novel method for identification of cotton contaminants based on machine vision

Foreign matter is easily mixed into cotton during picking, storing, drying, transporting, purchasing, and processing. These contaminants are difficult to remove in the spinning process and can cause yarn breakage, thus reducing efficiency of working. This paper proposed the new method based on machine vision to measure the contaminants in raw cottons. The color images of cottons with contaminants are acquired and divided three channels images. Intensity of illumination of cottons often is unstable because of the driving voltage of light source unsteady. The intensity of illumination of images should be corrected for measuring correction and precision. The Gamma adjustment function was adopted to correct non-uniform illumination for images. Through the experimental contrast, Gamma correction parameter is set as 0.8. The Otsu method is used to segment the image. After images of three channels’ information fusing, the contaminants of cotton samples can be correctly detected and cotton seeds also can be effectively inspected. The false detection ratio of the measuring system is less than 5%. The experimental results show the measuring system can meet with the requirement of the cotton's industry application.     

Retinex彩色图像增强理论的物理思考及其截断区间对图像质量的影响

指出了Retinex彩色图像增强理论的物理意义,在对数空间中,将原图像减去高斯函数与原图像的卷积,其物理本质是除去了原图像中的平滑的部分,突出了原图像中的快速变化的部分,而且高斯函数越尖锐,越是突出图像中的细节,高斯函数越平坦,图像色调保持得越好,多尺度Retinex综合了不同高斯函数与原图像进行卷积的优点。研究了多尺度Retinex标准差截断法,结果是,以多尺度Retinex处理后的图像强度在其平均值附近1倍标准差截断后再拉伸得到的图像,普遍好于以2倍、3倍标准差截断后再拉伸得到的图像。     

Color Appearance of a Patch Explained by RVSI for the Conditions of Various Colors of Room Illumination and of Various Luminance Levels of the Patch

Whenever we enter a space illuminated differently from a previous space whether in color or in illuminance, we can quickly adapt to the new atmosphere and can again perceive white for the originally white object; this is known as color constancy. This phenomenon is explained by rotation of the recognition axis of the recognized visual space of illumination (RVSI) toward the illumination color. The explanation then predicts that the color appearance of a test patch changes radically toward the opposite direction from the color of illumination when the physical property of the test patch is kept unchanged at a neutral white. This prediction was confirmed by Experiment 1, where eight different colors of illumination were employed. The test patch appeared very vivid in color and shifted toward the opposite direction from the color of the illumination. In RVSI theory the light source color mode is explained by the release of the test patch from the restriction of RVSI. The release can be achieved by increasing the luminance of the test patch and the color appearance of the patch should then return to its own color as it is no longer controlled by RVSI. In Experiment 2 these predictions were investigated by increasing the luminance of the test patch to a much higher level than that of the objects in the lit room fixed at an illuminance of about 1001x. The color appearance of the test patch indeed became the light source color and returned to the original neutral white. Emphasis was given in the course of the experiments that the subjects were observing the test patch presented in a real 3D space where the subjects also stayed inside so that they could properly construct RVSI for the space.     

Surface contouring by phase-shifting digital holography

Surface contouring by phase-shifting digital holography is proposed that provides surface height from a change of reconstructed object phases due to the tilt of object illumination. Surface height from a reference plane is directly obtained from the phase change. Its sensitivity depends on the tilt angle as well as on the initial incident angle. By proper selection of the angles we can derive surface height without phase unwrapping. The sensitivity can be enhanced by increasing the tilt angle. Then we need phase unwrapping that is sensitive to noise due to laser speckles in the reconstructed images. This noise could be suppressed by selecting phase values at points of the maximum product of amplitudes before and after the illumination change in the course of data reduction from 1024×1024 to 512×512 and by selecting paths for phase unwrapping by looking for the intensity maximum. The observed height resolution is 20 μm. Effects of numerical focusing have also been investigated. The present method has the same sensitivity as the fringe projection method, but it has larger measurement depth and is also applicable to the deformation measurement with the same arrangement.     

基于光照-反射成像模型和形态学操作的多谱段图像增强算法

为解决多谱段降质图像增强问题,提出了一种基于光照-反射成像模型和形态学操作的多谱段图像增强算法.首先对图像饱和度使用自适应非线性拉伸函数进行拉伸,使增强后的图像色彩更加饱和、自然;接下来利用引导滤波算法提取出图像的光照分量,提出了一种基于细节特征的加权融合策略,利用光照分布特性构造了一种自适应Gamma校正函数对光照分量进行处理,并将其与利用对比度受限的自适应直方图均衡化方法处理后的光照分量以及原始光照分量进行融合;然后在反射分量校正时,构造了一种形态学操作函数来校正反射信息;最后合并光照分量和反射分量,并与处理后的饱和度分量和色调分量一起得到增强图像.采用主客观评价指标对可见光低照度图像、水下图像、高动态范围图像、沙尘暴图像、雾天图像和热红外图像6种降质多谱段图像实验结果进行分析比较,结果表明本文算法能够有效地抑制图像噪声、增强图像细节信息、改善图像视觉效果,可应用于多种图像增强领域.     

一种改进的基于混合高斯模型的运动目标检测方法

混合高斯模型方法被广泛应用于运动目标检测,但是现有的混合高斯模型方法在应对噪声和光照突变时效果不佳,其运动目标检测的效果会受到严重影响。为了解决上述问题,提出了一种结合边缘混合高斯模型方法以及改进的基于邻域差方法的综合方法。该方法充分利用了边缘图像对于噪声和光照突变不敏感,以及邻域差方法可以去除部分噪声的特点,对图像序列进行综合处理。实验结果证明,该方法可以提升运动目标的检测率,降低误警率,可以更有效地应对噪声和光照突变的干扰,从而具有更准确的目标检测效果。     

光学相干层析图像的处理研究

提出一种基于各向异性扩散算法Catté模型的图像处理改进方法,通过对阈值k的修改以控制扩散强度,可实现在平滑光学相干层析图像的同时保护图像的边缘特征.对不同样品的光学相干层析图像处理.实验结果表明,改进后的算法更有利于噪音的滤除和边缘特征信息的保护.     

低照度条件下三基色获取及真彩色融合方法研究

鉴于低照度条件下彩色成像都是采用微光、红外、紫外等波段图像融合成假彩色,提出一种利用滤光片过滤和像增强器增强的三基色获取及真彩色融合方法。采用F P滤光片设计出了透射中心在三基色光中心波长的三基色滤光片,对其光谱透过性进行分析;通过旋转三基色滤色轮将目标反射光过滤,使用像增强器对过滤后反射光增强,借助FPGA编写的控制程序实现滤色轮转速和CCD摄像机成像时间的精确同步,利用CCD摄像机获取经增强后的三基色图像,实现目标三基色图像的动态采集。研制的样机在微光实验室进行了三基色采集及融合实验,实验时光照度分别1×10-1 lx （等效于月光下）和1×10-3 lx（等效于星光下）,采集速度设置为60 f/s,对获取的图像质量进行了评价。结果表明:在照度为1×10-1 lx时,融合后的真彩色图像在灰度均值、灰度方差和信息熵3项指标方面,比3幅单色图像的平均值分别提高了5.06%、5.97%和1.08%;在照度为1×10-3 lx时,融合后的真彩色图像与3幅单色图像的平均值分别提高了13.18%、-9.86和8.65%。     

基于YCbCr颜色空间的Retinex低照度图像增强方法研究

针对Retinex理论的低照度图像增强算法中光照图像估计问题,提出一种基于YCbCr颜色空间的低照度图像增强方法.该方法将原始低照度图像从RGB(Red Green Blue)颜色空间转换到YCbCr颜色空间,提取该空间中Y分量构建为原始光照图像分量L1(x,y),并对L1(x,y)进行Gamma校正得到增强的光照图像分量L2(x,y),经Retinex模型得到增强图像R(x,y),采用多尺度细节增强方法对图像R(x,y)进行细节增强,得到最终增强图像Re(x,y).实验结果表明,所提方法不仅能有效提升亮度,避免亮度和色彩失真,增强了图像的细节信息并获得了更好的视觉效果,而且运行速度快.