Point Spread Function Estimation for a Turbulence-Degenerated Image Based on Atrous Wavelet Transform

The observed object images are seriously blurred because of the influence of atmospheric turbulence. The restora- tion is required for the reconstruction of turbulence degraded images. Point spread function （PSF） estimation, an essential part of image restoration, has no accurate estimation algorithm at present. Based on the gtroas wavelet, we deduce a novel PSF estimation algorithm. First, the gtrous wavelet at varying scales is transformed. Then, on the basis of the relation among the local maxima of the modulus of the wavelet coefficients at different scales, the Lipschitz exponent of the wavelet coefficients is computed, thus the variance of a PSF is estimated. From this estimated variance, one is able to obtain the PSF. Consequently, the object image can be restored. Experimental results show that the proposed method is highly effective with good performance.     

Single frame blind image deconvolution by non-negative sparse matrix factorization

Novel approach to single frame multichannel blind image deconvolution has been formulated recently as non-negative matrix factorization problem with sparseness constraints imposed on the unknown mixing vector that accounts for the case of non-sparse source image. Unlike most of the blind image deconvolution algorithms, the novel approach assumed no a priori knowledge about the blurring kernel and original image. Our contributions in this paper are: (i) we have formulated generalized non-negative matrix factorization approach to blind image deconvolution with sparseness constraints imposed on either unknown mixing vector or unknown source image; (ii) the criteria are established to distinguish whether unknown source image was sparse or not as well as to estimate appropriate sparseness constraint from degraded image itself, thus making the proposed approach completely unsupervised; (iii) an extensive experimental performance evaluation of the non-negative matrix factorization algorithm is presented on the images degraded by the blur caused by the photon sieve, out-of-focus blur with sparse and non-sparse images and blur caused by atmospheric turbulence. The algorithm is compared with the state-of-the-art single frame blind image deconvolution algorithms such as blind Richardson-Lucy algorithm and single frame multichannel independent component analysis based algorithm and non-blind image restoration algorithms such as multiplicative algebraic restoration technique and Van-Cittert algorithms. It has been experimentally demonstrated that proposed algorithm outperforms mentioned non-blind and blind image deconvolution methods.     

Eliminating the zero spectrum in Fourier transform profilometry using a two-dimensional continuous wavelet transform

In this paper, a filtering technique based upon two-dimensional continuous wavelet transform (2D-CWT) is used to eliminate the low frequency components of fringe patterns. The filtered fringe patterns are subsequently demodulated using a standard Fourier transform profilometry (FTP) algorithm. This image pre-filtering stage improves the noise performance of the FTP algorithm and enables the FTP method to demodulate fringe patterns with larger bandwidths. Also, the 2D-CWT technique reduces speckle noise significantly. Moreover, only a single fringe pattern is required in this technique. The 2D-CWT algorithm is capable of separating low frequency terms from the high frequency terms that contain phase-modulated fringe information, even when both interfere, greatly, in the frequency domain. The proposed algorithm is tested, both via computer simulation and using real fringe patterns. This revealed the robustness of this algorithm and also demonstrably enables the demodulation of a wider range of fringe patterns using the FTP technique.     

Image watermarking based on an iterative phase retrieval algorithm and sine-cosine modulation in the discrete-cosine-transform domain

A novel digital image watermarking system based on an iterative phase retrieval algorithm and sine-cosine modulation in the discrete-cosine-transform (DCT) domain is proposed. The original hidden image is first encrypted into two phase masks. Then the cosine and sine functions of one of the phase masks are introduced as a watermark to be embedded into an enlarged host image in the DCT domain. By extracting the watermark of the enlarged superposed image and decryption we can retrieve the hidden image. The feasibility of this method and its robustness against some attacks, such as occlusion, noise attacks, quantization have been verified by computer simulations. This approach can avoid the cross-talk noise due to direct information superposition and enhance the imperceptibility of hidden data.     

Advanced analysis concepts for terahertz time domain imaging

Imaging based on ultrashort terahertz (THz) pulses (100-3000 μm) is investigated. The measured pulses are analyzed and the resulting amplitude and time delay information are compared. An algorithm for discrimination of multiple pulses is presented, which can distinguish several layers inside an object. A new measurement concept is presented, which accelerates the measurement of samples with small optical path differences about two orders of magnitudes. Exemplarily different applications from the field of quality management are shown.     

基于目标和点扩展函数联合估计的点源目标图像近视解卷积

在传统的基于波前探测的解卷积方法中,由波前探测得到的点扩展函数被认为是精确的,并用维纳滤波进行复原,但是点扩展函数不可避免地存在误差,所以最终的复原目标图像质量不佳.为了解决该难题,提出了基于目标和点扩展函数联合估计的图像近视解卷积算法.它运用了点扩展函数和目标的先验信息,对点扩展函数和目标进行了规整和进一步约束,从而得到更优的恢复图像质量.对该方法的原理和实现过程进行了阐述,并将其运用于室内点源目标数据中.实验结果证明,与维纳滤波方法相比,该方法使图像恢复的效果得到明显改善.     

基于光子图海水点扩展函数的估计

海水中粒子对光的散射是水下图像模糊的主要原因。点扩展函数能够反映海水中光的空间扩散程度,使用点扩展函数,水下图像能被恢复或增强。提出了一种基于光子图海水点扩展函数的估计方法,该方法通过用光子图求解辐射传输方程,对光场内任意点的辐射强度进行估计。通过与蒙特卡洛仿真点扩展函数的方法相比较,结果表明两者具有较好的一致性。     

Non-interferometric transient quantitative phase microscopy for ultrafast engineering

Lead-free piezoelectric ceramics Bi_0.5(Na_1-x-yK_xAg_y)_0.5TiO₃ [BNKAT(x/y)] have been synthesized by the mixed oxide method. The effects of the amount of K⁺ and Ag⁺ on the electrical properties were examined. X-ray diffraction patterns indicate that K⁺ and Ag⁺ ions partially substitute for the Na⁺ ions in Bi_0.5Na_0.5TiO₃ and form a solid solution during sintering. At room temperature, the ceramics exhibit good performances with piezoelectric constant d₃₃=189 pC/N, electromechanical coupling factor k_p=35.0%, remanent polarization P_r=39.5 μC/cm², and coercive field E_c=3.3 kV/mm, respectively. The curves of the dielectric constant ε_r and loss tangent tan δ versus temperature show that the transition temperature from ferroelectric to anti-ferroelectric phase decreases with increasing the K⁺ content for the compositions researched. The dependencies of k_p and polarization versus electric (P–E) hysteresis loops on temperature reveal that the depolarization temperature T_d of BNKAT(0.15/0.015) ceramics, which have good piezoelectric properties (d₃₃=134 pC/N, k_p=32.5%) and strong ferroelectricity (P_r=39.5 μC/cm², E_c=4.1 kV/mm) at room temperature, is above 160 °C. PACS 77.22.-d; 77.65.Bn; 77.80.Bh; 77.80.Dj; 77.84.Dy     

Optimal key mask design for optical encryption based on joint transform correlator architecture

We examine perfect recovery in the optical encryption system based on joint transform correlator architecture, which requires the key mask to be space-limited and phase-only in the frequency domain. Accordingly, a discrete sinc function interpolation is used to generate a binary phase difference mask for image encryption and decryption. Furthermore, the optimal binary phase difference mask is derived from the interpolation process best approximating the ideal sinc function interpolation. The simulation results confirm better recovery of the decrypted image for applying the proposed key masks to the optical encryption system. Especially, the optimal binary phase difference mask significantly enhances the recovery performance.     

基于小波变换的分水岭图像分割方法

图像分割技术在数字图像处理中占有重要地位.提出了一种基于小波变换的图像分割方法,有效地将小波分析、小波包分解与数学形态学中的分水岭方法相结合.首先,通过小波包对图像有效降噪,在一定程度上减少了分水岭方法的过分割现象.然后利用小波变换得到的梯度向量进行分水岭变换,有效保持边缘信息.实验结果证明该算法是可行的,与基于形态梯度的分割结果相比,得到了较好的分割效果.     

基于小波变换的激光光刀图像去噪技术

介绍了激光线扫描测量系统的测量原理,以及图像去噪处理在系统中的必要性;以现代数学小波分析为依据,提出了基于小波变换的激光光刀图像去噪技术.通过实验与分析,说明使用小波变换进行光刀图像去噪处理提高了激光扫描测量系统的测量精度.     

基于小波变换的图像融合新算法

针对现有图像融合技术中的尺度系数卷积法存在的边缘细节损失和对比度下降问题,提出了将Canny边缘检测算子等价于提取图像的小波变换模极大值点这一思想引入图像的低频分量融合规则以及用于高频子带融合的局部对比度结合方向方差方法.最后通过仿真试验以及熵值数据证明该算法有效改善了边缘细节的准确度,提高了分辨率,并使局部对比度信息得以保留,从而更加符合人类的视觉特性.     

一种基于小波变换的红外图像放大算法

图像放大技术的关键在于使放大后的图像尽可能地保持原始图像的清晰度。对于红外图像而言,传统的内插法存在着一定的缺陷。提出了一种基于小波变换的图像放大新算法,该算法对原始图像先进行小波变换获得高频系数,然后运用牛顿插值算法放大高频系数,以此作为放大图像的高频成份,而将原始图像作为低频成份,最后进行小波逆变换,重构出放大图像。实验证明该方法在图像细节方面具有很好的放大效果。     

基于小波的干涉多光谱卫星图像压缩方法

分析了干涉多光谱卫星遥感图像的成像特性,并根据该类图像对压缩效果的要求提出了一种基于小波分层树集合分割排序（Set Partitioning Hierarchical Trees,SPIHT）的局部图像优先编码方法,通过对图像小波域系数的局部增强,获得了对图像重要数据优先编码的特性,在8倍压缩比的条件下获得了满意的效果。用该方法对多幅干涉多光谱图像进行了测试,测试结果表明：该方法性能优于其他多光 谱卫星遥感图像编码方法,并有利于在实时图像编码系统中得到应用。     

基于图像二维小波多尺度分解傅里叶变换轮廓术

应用傅里叶变换轮廓术测量物体三维面形时,当被测物体形状复杂或是被噪声严重污染时,导致频谱分布展宽,发生频谱混叠现象,基频提取困难,无法准确恢复物体的三维面型.提出了基于小波分解的傅里叶变换轮廓术,采用小波变换的方法对变形条纹图进行二维多尺度分解,重构被测物的背景图像,滤出图像的零频成分,得到相对变形条纹.运用小波变换与傅里叶变换轮廓术相结合的方法,只需拍摄一幅变形条纹图,将被测物体与背景分离,不受背景成分的影响,且易于基频信息的提取,降低了对滤波器的要求.实验证明该方法较好地防止了频谱的混叠问题,提高了测量范围与解相精度.     

图像传输方法测量海水的点扩展函数

海水水体的点扩展函数（PSF）及光学传递函数（OTF）描述了海水中光或图像传输的性质,是研究海水光学性质及水下图像系统的基本参数。探讨了用图像传输的理论测量海水点扩展函数或光学传递数的方法,在实验室中建立了一套测量和计算系统;对不同长度的散射水体进行了测量,得到了一维和二维的海水点扩展函数曲线,测量结果与理论分析相符合。     

基于小波变换的数字胸片自适应增强

利用图像自适应增强原理, 推导出小波域中的等价表示. 根据视觉生理心理学原理, 具体的增益系数由图像的背景灰度确定. 同时考虑到胸片中重要的细节信息位于中间频率的特性, 增益系数需要进行调整. 实验结果表明, 调整增益后的小波自适应增强方法能有效的增强数字胸片中的细节信息.     

小波变换对OCT图像的降噪处理

通过分析光学相干层析成像系统中的噪音源以及不同噪音对成像质量的影响,利用小波变换的方法,结合软阈值滤波对图像去噪,消除噪音对图像的干扰,处理后图像变得清晰了,图像质量得以改善,表明该方法能达到减小图像噪音的目的.     

基于小波变换的图像混合噪声自适应滤除算法

为同时滤除图像中的椒盐噪声和高斯噪声,提出了一种基于小波变换的混合噪声自适应滤除算法,该算法首先采用中值滤波去除椒盐噪声,然后借助边缘检测算子区将图像为分边缘与非边缘区域,进一步对非边缘区域引入改进的均值滤波器,有效削弱高斯噪声的同时保护图像边缘细节,既初步削弱高斯噪声又保护了边缘,最后采用改进的小波阈值滤波算法,对不同的小波系数采用不同的阈值函数,通过线性回归得到各最优阈值关系式。实验结果表明,该混合噪声自适应滤除算法能有效滤除椒盐噪声和高斯噪声,在图像主观质量和客观质量上均取得了较好的效果,能提高去噪图像峰值信噪比0.5～2．0 dB。     

表面粗糙度对点扩散函数影响的研究

建立了粗糙波面点扩散函数。所建立的点扩散函数，包括“核”和“晕圈”两部份，前者随粗糙度的增加而减少，后者随粗糙度的增加而增加。