基于DMD的哈达玛变换成像光谱仪中交错编码像素点的研究

近年来在哈达玛变换成像光谱仪研究领域中最重要的技术革新在于数字微镜器件在这种光谱仪中的应用,但同时也带来了一些相应的技术问题需要克服。详细的描述和分析了由于数字微镜器件在哈达玛变换光谱仪中的应用导致的编码图像上的部分像素点出现的一种交错编码现象;这种特殊的像素点,编码过程不符合哈达玛变换,在光谱复原过程中需要特殊处理。针对这种交错编码像素点,提出了一种标识方法和解码方法。实验中,向光谱仪中导入一束激光并充满整个视场,在编码的激光图像中确定交错编码像素点的位置。然后变换编码模板上哈达玛编码码道的空间位置,采集两组针对目标的编码图像,通过观察编码图像上一个像素点的灰度值组成的列向量中非零常量与零元素的个数,可以分辨它是否是一个交错编码像素点。其中一组编码图像上交错编码像素点光谱曲线可以通过对另一组编码图像上相应位置的像素点进行哈达玛反变换得到。实线结果证明了这一方法的可行性。     

哈达玛变换光谱成像仪光谱响应非均匀性修正

哈达玛变换光学是近些年发展起来的一门新技术,已经被广泛应用于目标设别、微弱信号检测等领域。基于DMD的哈达玛变换光谱成像仪是一种新型的色散型光谱成像仪。介绍了哈达玛变换成像原理,在自行研制的哈达玛变换光谱成像仪基础上,从光谱定标的角度,研究了哈达玛变换光谱成像仪获得的编码图像的光谱响应非均匀性。针对哈达玛变换光谱成像仪获得的光谱图像中叠加非均匀性噪声及光谱混叠影响光谱复原精度的问题,首次在该光谱成像仪上利用辐射度相对光谱修正和绝对光谱修正算法,对光谱响应非均匀性进行修正。仿真计算和实验结果表明,对于哈达玛变换光谱仪采集的七个波段的光谱图像,修正后的光谱曲线与辐射度计获得的谱线精度非常接近,使复原光谱的误差在2.4%～4.2%的范围,满足实验室和工程应用的技术要求。     

阿达玛变换光谱仪狭缝衍射的编码修正

根据阿达玛变换光谱仪的原理与狭缝衍射特性,分析了光谱仪入射狭缝衍射对阿达玛变换光谱仪测量结果造成影响,对衍射情况下的阿达玛变换光谱仪的仪器结构矩阵进行了研究,得出了衍射情况下阿达玛变换光谱仪的编/解码方法,通过对入射光谱的还原分析,验证了编码/解码的正确性。该方法对阿达玛变换光谱仪的高精度光谱测量具有重要意义。     

Multiple-image encryption by two-step phase-shifting interferometry and spatial multiplexing of smooth compressed signal

A multiple-image encryption method based on two-step phase-shifting interferometry(PSI) and spatial multiplexing of a smooth compressed signal is proposed. In the encoding and encryption process, with the help of four index matrices to store original pixel positions, all the pixels of four secret images are firstly reordered in an ascending order; then, the four reordered images are transformed by five-order Haar wavelet transform and performed sparseness operation. After Arnold transform and pixels sampling operation, one combined image can be grouped with the aid of compressive sensing(CS)and spatial multiplexing techniques. Finally, putting the combined image at the input plane of the PSI encryption scheme,only two interferograms ciphertexts can be obtained. During the decoding and decryption, utilizing all the secret key groups and index matrices keys, all the original secret images can be successfully decrypted by a wave-front retrieval algorithm of two-step PSI, spatial de-multiplexing, inverse Arnold transform, inverse discrete wavelet transform, and pixels reordering operation.     

Digital information encrypted in an image using binary encoding

This paper proposes a new type of encoding methods to encrypt hidden (covert) information in host images. The encrypted information can be plot, fax, word, or network data, and it must be encoded with binary codes. All the pixels in an encoded (overt) image modulated from a host image are classified into three groups. The first group of pixels is called identification codes, used to judge whether the overt image is encoded by a method proposed in this paper or not. The second group of pixels is called type codes, used to judge the encoding type. The third group of pixels is called information codes, used to decode the encoded information. Applying the proposed encoding methods is quite convenient, and host images are not needed for decoding. Decoding covert information from overt images is rather difficult for un-authorized persons, whereas it is very easy for designers or authorized persons. Therefore, the proposed methods are very useful.     

On a predictive scheme for colour image quantization

In this paper we proposed an improved colour image quantization scheme based on predictive coding. Since the neighbouring colour pixels are quite similar in most colour images, the similarity among the encoded pixels is exploited. In the proposed scheme the encoded distinct neighbouring colours are collected to form a smaller state-palette. If the closest colour in the state-palette is quite similar to the current encoding colour pixel, the index of the closest colour in the state-palette is recorded. Otherwise, the closest colour in original colour palette for the current encoding colour pixel is searched and the corresponding index is recorded. The experimental results show that the proposed method achieves good image qualities while requiring much lower bit rates for colour image compression.     

An Image Encryption Scheme Based on Logistic Quantum Chaos

This paper proposes an image encryption scheme based on logistic quantum chaos. Firstly, we use compressive sensing algorithms to compress plaintext images and quantum logistic and Hadamard matrix to generate the measurement matrix. Secondly, the improved flexible representation of the quantum images (FRQI) encoding method is utilized for encoding the compressed image. The pixel value scrambling operation of the encoded image is realized by rotating the qubit around the axis. Finally, the quantum pixel is encoded into the pixel value in the classical computer, and the bit-level diffusion and scrambling are performed on it. Numerical analysis and simulation results show that our proposed scheme has the large keyspace and strong key sensitivity. The proposed scheme can also resist standard attack methods such as differential attacks and statistical analysis.     

编码模板误差引起测量光谱图像改变的分析

针对编码模板存在的各种不同误差情况,确定了相应的循环编码矩阵.根据阿达玛变换成像光谱仪的编码和解码原理,通过比较解码得到光谱图像和原始图像.分析了光谱图像在编码模板存在各种不同误差的情况下,随编码模板误差的变化情况,得到了光谱图像随编码模板误差变化的大致范围和基本关系.     

空间编码与灰度投影相结合实现高效3-D形貌测量的研究

介绍了一种结合空间编码与灰度投影来实现高效三维形貌测量的方法。用空间编码完成对被测空间的粗略编码,用灰度投影完成精确编码,将它们结合起来得到被测物体表面丰富的编码信息,作为一种基于三角法的三维形貌测量方法,能够在物体表面非常不连续和外部光照造成的背景光强分布不确定的情况下工作良好。同时,与传统的空间编码方法相比,它大大提高了空间编码的效率。实验表明,该方法用５ 幅图像取得了与灰度码１０幅图像相当的测量结果。     

基于混合光模式阵列的自由空间编码通信

光学涡旋的产生、传输与应用是当前光学领域的研究热点之一.光学涡旋具有轨道角动量,作为一种全新的自由度,丰富了目前光通信的方式.利用面向目标的共轭对称延拓傅里叶计算全息技术,基于空间光调制器,用单束激光直接产生混合光模式阵列进行编码通信.采用由单光涡和复合光涡构成的4种易于识别的模式组成2×2混合光模式阵列,进行灰度图像的编码传输.在接收端提取混合光模式阵列图的信息并进行解码,实现零误码的灰度图像再现.以传输一幅Lena图像为例,使用2×2混合光模式阵列进行编码通信,相对于传统单光涡编码通信,其信息容量可增加4倍.该方法光路简单易行,可扩展性强,进一步拓展使用4×4混合光模式阵列进行编码通信,信息容量提升16倍.提出的混合光模式阵列编码通信方法对于提高信息传输容量具有重要价值.     

阿达玛变换光谱成像仪光谱混叠分析及修正

叙述了阿达玛变换光谱成像仪的原理及仪器构成,对阿达玛编码模板引起的光谱混叠现象进行了分析研究.从理论上导出了光谱混叠公式,并提出了光谱修正方法,仿真实验结果表明该方法简单有效.修正后光谱图像的分辨率取决于偏离光轴最远处的码元对应的空间分量.     

Equivalence of a Bit Pixel Image to a Quantum Pixel Image

We propose a new method to transform a pixel image to the corresponding quantum-pixel using a qubit per pixel to represent each pixels classical weight in a quantum image matrix weight.All qubits are linear superposition,changing the coefficients level by level to the entire longitude of the gray scale with respect to the base states of the qubit.Classically,these states are just bytes represented in a binary matrix,having code combinations of 1 or 0 at all pixel locations.This method introduces a qubit-pixel image representation of images captured by classical optoelectronic methods.     

Equivalence of a Bit Pixel Image to a Quantum Pixel Image

We propose a new method to transform a pixel image to the corresponding quantum-pixel using a qubit per pixel to represent each pixels classical weight in a quantum image matrix weight. All qubits are linear superposition, changing the coefficients level by level to the entire longitude of the gray scale with respect to the base states of the qubit. Classically, these states are just bytes represented in a binary matrix, having code combinations of 1 or 0 at all pixel locations. This method introduces a qubit-pixel image representation of images captured by classical optoelectronic methods.     

Hybrid encoding method by assembling the magic-matrix scrambling method and the binary encoding method in image hiding

The magic-matrix scrambling method and the binary encoding method are combined to form a hybrid encoding method for hiding digital covert images. For this hybrid encoding method, a covert image is encoded into a host image to form an overt image. First, the magic-matrix scrambling method is used to rearrange all the pixels of the covert image by using a specified magic matrix modified from a magic square to form a scrambled matrix. Then, all the pixels of the scrambled matrix are denoted by binary data. Finally, the binary data are encoded into the host image to form the overt image. The pixels of the overt image contain nine groups of codes used for decoding the covert image, i.e. identification codes, covert-image dimension codes, scrambling-time codes, magic-square dimension codes, corner codes, shifting codes, arrangement codes, graylevel codes, and information codes. The overt image and the host image look almost the same for eyes. Furthermore, the covert image can be decoded directly from the overt image without using the host image. The most important feature is that the decoded covert image is identical to the original covert image, i.e. there is no distortion in the decoding work.     

基于小波树和哈达玛矩阵的自适应快速三维压缩成像方法

针对光子计数系统实现三维成像速度缓慢的问题,提出一种基于小波树和哈达玛矩阵的自适应快速三维压缩成像方法。利用哈达玛矩阵调制投影图案提高采样效率,被调制的短脉冲结构光照射场景,单像素光子计数探测器采集回波。通过分析低分辨率图像的小波树选择采样区域,使用哈达玛矩阵调制所选采样区域得到的投影图案,可采集图像细节,多阶段采样后利用哈达玛反变换恢复出高分辨率图像。实验结果表明,采集并恢复出一幅512×512像素的三维图像的时间最快可达到41 s。     

液晶空间光调制器在阿达玛变换光谱仪中的应用研究——快速精确的解码方法

研究了液晶空间光调制器(LC-SLM)作为固定不动的编码模板应用于阿达玛变换光谱仪(HTS),提出了快速精确的解码方法,给出了由液晶空间光调制器编码模板所带来的均方根信噪比的改善.     

顾及光谱混叠的高光谱相机任意方向侧扫几何成像

以移动平台的线推扫式高光谱相机横向推扫成像不同于以卫星平台或飞机平台的竖直摄影成像方式,其属于水平方向推扫竖直方向成像,存在投影面选择、空间方位确定以及光顾混叠等问题。针对上述情况,详细推导了适合于线阵高光谱相机地面推扫的影像像素地理参考模型,可以进行任意方向的地面横向推扫成像;结合影像的地面采样间隔大小及推扫成像的区域范围,给出了地理参考后影像格网划分的一般过程;同时,考虑到在影像格网划分过程中存在的舍入误差,以及在影像校正过程中采用传统直接光谱采样可能造成的光谱掺杂问题,提出了基于地理参考后相邻像素重叠面积作为权重系数进行加权融合的改进光谱采样方法。最后进行了大量地面横向推扫成像实验,并依据上述算法进行了影像畸变校正,验证了线阵影像几何畸变校正算法的有效性及鲁棒性,同时,对校正好后的影像选用多个样本点进行了光谱数据验证,实验表明改进后的光谱采样方法明显优于直接光谱采样算法,为同类产品的地面应用提供参考。     

Binary encoding method to encrypt Fourier-transformed information of digital images

An encoding method is used to encrypt the Fourier-transformed information of a hidden (covert) digital image in an overt image, while the Fourier-transformed information must be encoded with binary codes. All of the pixels in an overt image are classified into five groups that are called identification, type, tracing, dimension, and information codes. Identification codes are used to judge if the overt image contains codes that belong to the proposed encoding method or not; type codes are used to judge the encoding type; tracing codes are used to judge the encoding trace; dimension codes are used to judge the size of the hidden information; and information codes are used to decode the hidden information. Applying the proposed encoding method is rather easy, and host images corresponding to overt images are not needed for decoding work. The experiment has demonstrated four types of encoding for the proposed encoding method to reconstruct covert images without any distortion or only with a little distortion.     

A New Quantum Gray-Scale Image Encoding Scheme

In this paper, a new quantum images encoding scheme is proposed. The proposed scheme mainly consists of four different encoding algorithms. The idea behind of the scheme is a binary key generated randomly for each pixel of the original image. Afterwards, the employed encoding algorithm is selected corresponding to the qubit pair of the generated randomized binary key. The security analysis of the proposed scheme proved its enhancement through both randomization of the generated binary image key and altering the gray-scale value of the image pixels using the qubits of randomized binary key. The simulation of the proposed scheme assures that the final encoded image could not be recognized visually. Moreover, the histogram diagram of encoded image is flatter than the original one. The Shannon entropies of the final encoded images are significantly higher than the original one, which indicates that the attacker can not gain any information about the encoded images.     

基于光谱知识库的TM影像冬小麦条锈病监测研究

基于高光谱信息的冬小麦条锈病严重度反演模型通常不能直接应用在宽波段卫星影像上,而拥有高光谱波段信息的航空遥感影像又因数据尺度小、成本高难以应用于大规模监测。文章提出一种通过构建冬小麦条锈病光谱知识库,利用TM影像实现病情识别和监测的方法。该方法以包含各种不同病情严重度的试验田的三幅小麦关键生育期PHI航空遥感影像为媒介,利用病情指数DI的经验反演模型和基于波谱响应函数的TM波段模拟,建立DI和TM波段模拟反射率间的光谱知识库。在此基础上,通过马氏距离法和光谱角度填图(SAM)法将待检象元的光谱信息与光谱知识库进行匹配分析从而实现对病情识别和监测。监测的精度利用模拟TM象元进行评价,识别的效果利用TM影像象元进行检验。结果表明,该方法在一定生育期范围内具有较佳的监测精度和识别效果。其中,使用模拟TM象元在小麦灌浆期精度最佳,评价的R2达到0.93,乳熟期次之,拔节期最差,基本不能用于监测。使用TM影像象元在灌浆期和乳熟期可较好地识别染病象元,在拔节期无法有效识别染病象元。匹配方法马氏距离法略优于光谱角度匹配法。