白光信息处理的现代进展

本文讨论了作者所提出的白光信息处理系统的基本概念,以及用它在进行复数滤波、信号综合及平行光学处理诸方面的若干研究成果。这种方法既消除了相干系统中不可避免的相干噪声,又保持了相干系统所具有的运算能力。值得指出的是,它还具有相干系统所不具有的独特优点,即由于光源本身的相当广阔范围的光谱分布,对多色信号及彩色图象的处理十分有利和相当有效。它为光学信息处理展示了一个新的具有良好前景的方向。     

肺癌荧光图象的伪彩色增强处理

近年来,作者开发了肿瘤荧光成象法用于诊断和定位早期支气管癌.由于所获得的荧光图象使用了象增强器进行增益放大,因此还消除了肺癌荧光图象的彩色信息.本文给出了一种荧光图象伪彩色增强处理的方法,并证实了伪彩色增强技术用于早期肺癌荧光诊断的可行性.经增强处理后,内镜医生只要根据彩色视频图象中与黑白荧光图象强度相对应的颜色就可以鉴别肺癌存在与否.同增强处理前的黑白图象相比,医生从伪彩色图象中获得了病灶内部结构、边缘效果和立体感方面的更多信息.临床结果表明可疑组织与正常组织之间获得了足够高的颜色衬比,有助于诊断早期肺癌病灶.     

用白光信息处理作褪色透明片的彩色复原

本文提供了用白光信息处理技术作褪色透明彩色照片彩色复原的原理和实验,其中之一是由空间编码和彩色滤波两步骤完成的,即将待处理的透明彩色片用空间编码技术编制在一张黑白感光底片上,在白光光学处理系统的傅里叶平面中对这编码的黑白片的频谱进行彩色滤波,最后在系统的输出平面给出彩色增强或复原的图象,另一种是用白光处理技术作褪色透明彩色片的彩色复原实时处理,它可供及时的直接观察并且有操作简便,成本经济和能灵活多用的特点,这两种技术为彩色图象的彩色增强和复原提供了新方法。 关键词：     

利用周期白光线源的光学图象相减

光学图象相减是信号综合的一个重要分支,目的在于获得图象之间的差别信息,它可以应用于地球资源探测、医学、气象学、自动监视、图象识别、城市发展研究等领域,也可用于编码孔成象与OTF综合等技术。D.Gabor等第一次提出用复振幅对光学象进行综合——加或减。J.F.Ebersole对这一领域的实验方法作了较全面的评述,在此以后又有若干进展。     

黑白图象假彩色化的新实验

引言 鉴于黑白图象被彩色化后能大大提高其分辨率以及密度假彩色化方法越来越广泛的在科研和生产当中的应用,我们在1983年将我系张静江、王书颖、刘大禾等同志在1982年研究成功的“光栅编码位相型图象的假彩色化”方法排成一个新实验,安排在学生的光学专业选修课及进修教师的实验课中.该方法仅用一张黑白图片,经光栅一次编码,并且将其作显影、漂白处理后,再在白光处理光路中进行分频处理,即可在输出面上得到等密度假彩色图象.该方法不仅操作简单,而且所得彩色图象清晰度高、颜色丰富.选用不同的级还能使图象变成不同的颜色,可以收到不同的处…     

用非相干光处理大运动模糊图象

研究了一种处理大运动模糊图象的非相干光方法:利用光密度严格“互补”的正、负片,直接对图象微分,以获取处理象。既可处理平动模糊图象,又可处理用目前相干光方法难以处理的转动模糊图象。     

彩色编码分析超声心动图在心脏病临床中应用价值的初步探讨

近来超声心动图已被证实为临床切实可用的诊断检查技术,它已逐渐成为心脏病诊断的主要根据之一.对某些复杂先天性心脏病及心脏结构异常可与有创检查方法心血管造影术互为补充,对某些病已可用无创方法逐步取代或部分取代有创检查方法.目前,人们期待更高质量和更多性能的超声检查心脏设备,以充分发挥这种以分析图象为根据的技术之潜在能力.提高分辨力是重要的途径.为此,人们改进探头形态、晶体片质量、扫描方式等,以更真实地传输被探查目标的原形,同时也采用先进的信息处理技术改进显示方法.为此,采用了灰阶显示.曾有人试用彩色编码显示M型超声心动图,但未有更深入的资料报告.我们对二维扇扫超声心动图的录象及图片,进行了彩色编码的初步分析,得到初步印象,认为本技术可以提高二维超声心动图,特别是静止心脏显示图象的分辨力,值得进一步研究及临床试用.     

基于RGB图像传输的双随机相位加密隐藏技术

提出了一种通过彩色宿主图像隐藏双随机相位编码信息的方法.将需隐藏的原始信息,经双随机相位编码,压缩后按一定的编码规则隐藏在宿主图像(RGB图像)的低位.在提取隐藏图像过程中直接对携带隐藏信息的融合图像进行处理,不需要利用原始RGB宿主图像,且重构图像的质量较好,不受原始宿主图像的影响.在此基础上对因原始隐藏信息在编码、存储、传输过程中对融合图象和重构图象的影响做了分析,并在MATLAB环境中对分析结果做了模拟验证.结果表明,该方法可以得到非常好的重构图象.     

相位调制密度假彩色编码

本文提出一种利用光栅调制的位相图象在白光照射下取零级或一级等低衍射级次,获得彩色化输出图象的新方法。本方法光强利用率高、彩色饱和度好、噪声低、方法简便、易于推广,已在遥感、生物医学等图象处理中收到实际应用效果。彩色图象特征鲜明,易于识别。将黑白图象彩色化一直是图象处理中一个重要课题。在光学上已研究了实现图象彩色化的许多方法。但一般都利用衍射一级或其他高级次的输出图象。本文提出一种获得彩色化输出图象的新方法:用罗奇光栅对待处理的图象抽样,再作漂白处理,使图象上不同的密度信息转换成相应的位相信息,再利用位相图象在白光处理系统中的衍射特性,取出零级或一级等低衍射级次输出,从而获得光强利用率高、彩色饱和度好、噪声低的彩色输出图象.     

空间频率彩色编码在遥感图象处理中的应用

空间频率彩色编码的方法是基于傅里叶光学中的空间滤波技术.关于相干光照明下的空间滤波方法在图象处理上的应用已为大家所熟知[1].这种方法对图象增强有明显作用,其主要缺点是:(1)由于用激光作光源,往往带来难以避免的相干噪声,严重地影响了成象质量.(2)无论用哪种滤波器,在突出某部分信息的同时,往往丢失了其他信息,故处理后的图象有时失去了原图的形象.空间频率彩色编码避免了上述缺点. 一、空间频率彩色编码方法及其发展 此方法所用光路基本上和相干光4f系统类似,只是用产生白光的溴钨灯S及一小孔W作为点光源,以代替激光.光经透镜L0准…     

Color signal correlation detection by matched spatial filtering

A polychromatic correlation detection technique by complex spatial filtering is presented. This technique utilizes a diffraction grating and three co-lineared (red, green, and blue) coherent sources. The technique of complex spatial filter synthesis for the polychromatic corelation detection is demonstrated. This technique offers true color correlation detection which is very suitable for color signal recognition and identification. The correlation diffraction efficiency with this technique is generally higher than that of the wavelength-multiplexed technique. Several interesting experimental demonstrations of this color signal correlation detection scheme are provided. Finally we note that this color signal detection technique is a simple and versatile processing technique which has broad range of applications of complex color signal detection, recognition and identification.     

Real-time joint spectral-spatial matched filtering

A technique for real-time joint spectral-spatial matched filtering is presented. The technique involves the real-time conversion of an input color image into a set of sampled monochromatic coherent images through the use of a tricolor grid and real-time spatial light modulator. These color-coded monochromatic images are then processed by a multi-channel, coherent matched filtering subsystem. The advantage of this technique over prior matched filtering methods is its ability to use both color and shape in recognizing objects.     

Color component 3D Arnold transform for polychromatic pattern recognition

We propose a novel method for polychromatic pattern recognition based on color component 3D Arnold transform. Three color components (for example RGB) are first transformed into three chaotic images by the use of 3D Arnold transform. And then any one of the chaotic images is chosen as the input image of the JTC to be recognized. As a result, strong color discrimination capability is achieved and common color images as well as some special color images can be recognized, while still preserving compact system and easier analysis of the output. Numerical results demonstrate the feasibility and effectiveness of the proposed method.     

Optical-path-length-shifting color digital holography

We propose an in-line color digital holography that can suppress a 0th-order diffraction image and a conjugate image. This technique reconstructs the image of an object from two holograms that are formed at two different distances from the object for each primary color. We numerically simulated the proposed technique and confirmed that it enabled the reconstruction of higher-quality images of an object than the Fresnel transform alone, which is the simplest reconstruction algorithm in digital holography. The effectiveness of the proposed technique was also quantitatively shown by evaluating the reconstructed images using root-mean-square errors. Thus, it was confirmed that the proposed technique was capable of recording and reconstructing both three-dimensional information and color information of an object.     

Measuring the phase of spatially coherent polychromatic fields

Realistic optical fields are never completely monochromatic and the interpretation of the concept of phase is not straightforward. It has been pointed out by Wolf that, if a strict condition of spatial coherence is imposed, the statistically averaged behavior of a polychromatic field can be described by an associated monochromatic wave. We show that, for spatially coherent polychromatic optical fields, the measurement of the phase of the second-order correlations determines the phase of this associated, spatially coherent field. We verify this prediction using a novel interferometric technique for measuring the cross-spectral density of a steady-state optical field.     

自适应参考图像的可见光与热红外彩色图像融合算法

可见光与红外热图像的彩色图像融合技术是现今国内外高性能夜视技术发展的重要方向之一,该技术有效提高了人们对目标的探测和场景理解能力。目前常用的色彩传递算法多属于基于单幅参考图像的全局色彩传递算法,彩色融合图像的色调受到参考图像的影响较大,在实际应用中难以保证对各类场景的适应性。针对常规YUV空间色彩传递彩色图像融合算法的环境适应性问题,通过对植物、城镇和海天三类典型场景的分类与统计,发现了典型场景在UV通道的均值和标准差具有的较为明显的分类特性,由此提出了一种基于UV通道均值和标准差的自适应参考图像构造方法,使得可见光与热红外彩色图像融合算法具有较常规算法更好的环境适应性,融合图像的色彩具有较好的自然感,且算法处理量较小,对现有实时硬件融合处理算法的运算速度影响不大,是一种环境适应性强的自然感彩色融合处理算法。     

Color component marking and convolution-based encoding for polychromatic pattern recognition

A novel method for polychromatic pattern recognition is proposed based on color component marking and convolution-based encoding. Three random phase functions are first chosen as marks to multiply with the three color components of the input images. Then the three marked color components are combined into one image using convolution-based encoding. Finally, the combined images are served as the input images of the JTC to be recognized. The feasibility and effectiveness of the proposed method are demonstrated by numerical results.     

A Noisy SAR Image Fusion Method Based on NLM and GAN

The unavoidable noise often present in synthetic aperture radar (SAR) images, such as speckle noise, negatively impacts the subsequent processing of SAR images. Further, it is not easy to find an appropriate application for SAR images, given that the human visual system is sensitive to color and SAR images are gray. As a result, a noisy SAR image fusion method based on nonlocal matching and generative adversarial networks is presented in this paper. A nonlocal matching method is applied to processing source images into similar block groups in the pre-processing step. Then, adversarial networks are employed to generate a final noise-free fused SAR image block, where the generator aims to generate a noise-free SAR image block with color information, and the discriminator tries to increase the spatial resolution of the generated image block. This step ensures that the fused image block contains high resolution and color information at the same time. Finally, a fused image can be obtained by aggregating all the image blocks. By extensive comparative experiments on the SEN1–2 datasets and source images, it can be found that the proposed method not only has better fusion results but is also robust to image noise, indicating the superiority of the proposed noisy SAR image fusion method over the state-of-the-art methods.     

Invariant Optical Recognition of Color Range Patterns Using Image Encoding

Correlation methods for recognition of polychromatic range images are presented. First, polychromatic range images are described. The correlation can be performed using either a single channel compressing both the range and the color images or a multichannel approach. The advantages of both methods are discussed. Translation invariant recognition along the x, y, and z axis is obtained. In the single channel approach, the range and the hue are combined using phase and amplitude coding. Then the double-channel approach is considered using sine-coding for the input image and phase-coding for the reference image. Finally, both channels are combined in order to improve the discrimination capability of the system. Optical implementation is performed.     

Three-dimensional imaging spectrometry by fully passive interferometry

We have developed a method to obtain a set of spectral components of three-dimensional (3D) images for a spatially incoherent, polychromatic light source distribution by a fully passive interferometric technique. The principle of the method is based on the measurement of a five-dimensional (5D) spatial coherence function and signal processing including the synthetic aperture technique and spectral decomposition. This paper gives a mathematical formulation illustrating the principle of the method, and we report an experimental demonstration in which the measured object is composed of two statistically uncorrelated point sources. The experimental results verify the applicability of our method to conventional spatially incoherent, polychromatic objects.