多通道时间延迟积分CCD辐射标定和像元实时处理

剖析了时间延迟积分CCD(TDICCD)像元校正对信噪比和调制传递函数测试的影响,设计了基于辐射标定和地面控制的多通道TDICCD像元响应非均匀性实时处理方法以提高星上实时图像的像元响应非均匀性。该方法基于辐射标定去除图像的固定图形噪声,并校正图像奇异点;通过分析星上实时传输图像,处理奇异点像元的图像问题,实现地面控制像元响应非均匀性的实时调整。提出的系统实时处理方式可以不改变硬件结构即有效改善图像的视觉效果,对于坏像元、像元性能降低、像元污染等特定情况有很强的纠错能力。实际成像试验的对比表明,该方法对信噪比、调制传递函数有很好的修正作用,其精确调整能力分别达到0.1db及0.01;在50%饱和值下测试的图像非均匀性指标达到1.25%。该方法结构简单,在工程实践中有很好的应用前景。     

Agriculture satellite image segmentation using a modified artificial Hopfield neural network

Beekeeping plays an important role in increasing and diversifying the incomes of many rural communities in Kingdom of Saudi Arabia. However, despite the region’s relatively good rainfall, which results in better forage conditions, bees and beekeepers are greatly affected by seasonal shortages of bee forage. Because of these shortages, beekeepers must continually move their colonies in search of better forage. The aim of this paper is to determine the actual bee forage areas with specific characteristics like population density, ecological distribution, flowering phenology based on color satellite image segmentation. Satellite images are currently used as an efficient tool for agricultural management and monitoring. It is also one of the most difficult image segmentation problems due to factors like environmental conditions, poor resolution and poor illumination. Pixel clustering is a popular way of determining the homogeneous image regions, corresponding to the different land cover types, based on their spectral properties. In this paper Hopfield neural network (HNN) is introduced as Pixel clustering based segmentation method for agriculture satellite images.     

Separable reversible data hiding in encrypted image based on pixel value ordering and additive homomorphism

This work proposes a separable reversible data hiding scheme in encrypted images based on pixel value ordering (PVO). After the original image is encrypted using homomorphism encryption by the content owner, the data hider embeds the secret data in encrypted domain. The PVO strategy realizes hiding data in each block. Additive homomorphism guarantees the performance of PVO in encrypted domain is close to that in plain domain. Besides, the homomorphism encryption does not cause data expansion, and the payload can be further improved. With the watermarked encrypted image, if the receiver has only the data hiding key, he can extract the additional data. If the receiver has only the encryption key, he can obtain a decrypted image similar to the original one. If the receiver has both the data hiding key and the encryption key, he can extract the additional data without any error and recover the original image losslessly.     

一种新型的电压型AMOLED像素补偿电路

针对常用3T1C结构的AMOLED像素补偿电路容易受到阈值电压漂移影响的问题,介绍了一种新型电压型4T2C结构的AMOLED像素补偿电路,阐明了该电路的工作原理,并对OLED的驱动电流作了定性分析。结果显示该驱动电流值只与驱动电压及电源电压有关,从而有效地解决了因阈值电压变化而造成的显示器亮度不均匀的问题。该电路已通过Spectre仿真软件验证了其有效性。     

Satellite image segmentation with Shadowed C-Means

Satellite images often require segmentation in the presence of uncertainty, caused due to factors like environmental conditions, poor resolution and poor illumination. Since any subsequent image analysis depends on the quality of such segmentation, one has to obtain an efficient algorithm for the purpose. Pixel clustering is a popular way of determining the homogeneous image regions, corresponding to the different land cover types, based on their spectral properties. In this paper we map the newly developed shadowed clustering algorithm to the problem of segmenting remotely sensed images.It is observed that shadowed clustering can efficiently handle overlapping among segments while modeling uncertainty among the boundaries. Unlike rough clustering, here the choice of user-defined parameters is fully eliminated. The number of segments is automatically optimized in terms of validity indices. The algorithm is robust in the presence of outliers. The superiority of the system is demonstrated in segmenting a synthetic image, along with land cover types from the Indian Remote Sensing (IRS) images of the cities of Mumbai and Kolkata and the SPOT image around Kolkata. The algorithm is found to efficiently and accurately extract the different homogeneous regions in the presence of uncertainty. The results are analyzed both qualitatively and quantitatively.     

Suppression of viewing angle dependence of organic light emitting diodes by introduction of circular polarizer with nanoporous polymer film

To improve poor viewing angle characteristics of top emission organic light emitting diodes (TEOLEDs) without any serious pixel blur phenomena, we applied a circular polarizer (CP) film modified by nanoporous polymer film (NPF). From this approach, we could improve the color shift significantly (Δu'v’ in CIE 1976 with viewing angle, from 0.0165 to 0.0114), and expand angular light emission distribution of off-axis by applying CP with NPF. We found that black color shift was little associated with NPF position change although black color was slightly faded tint by applying NPF, as like plasma display panel(PDP)’s off condition. Very interestingly, we found that the reflectance was not changed seriously whether NPF exists between glass encapsulation and CP or not. Besides, we investigated the pixel blur level when we applied different condition in encapsulation thickness and morphology of diffusing films. As a result, we found that the pixel blur phenomena can be significantly suppressed by applying thin encapsulation and NPF type diffuser film.     

基于矩阵相似度的最佳样本块匹配算法及其在图像修复中的应用

在基于纹理合成的图像修复算法中,最佳样本块匹配算法存在匹配精度不高和时间复杂度高等问题。针对上述问题,首先构造了块匹配算法,采用矩阵相似度来计算模板块与样本块之间的匹配度,以相对较粗的粒度初步选出最佳样本块的候选集。然后,又构造了像素点匹配算法,采用模板块与候选最佳样本块之间的误差矩阵的内积来计算对应像素点之间的匹配度,以更细的粒度来确定最终的最佳样本块。块匹配算法降低了时间复杂度,像素点匹配算法提高了匹配精度,因此,在此基础上构造的基于相似矩阵的最佳样本块匹配算法能够在不增加时间复杂度的情况下提高算法的匹配精度。实例验证结果表明,与当前基于纹理的图像修复算法相比,该算法的匹配精度提高,时间复杂度降低。     

基于C8051F020控制的液晶显示屏设计

DMF-50840点阵图形液晶显示由大屏幕LCD液晶显示器、SED1335控制器、CCFL背光逆变器和DC-DC显示驱动电源组成.基于C8051F020单片机控制的液晶显示屏SED1335控制器,解译MPU发来的指令代码,将参数置入相应寄存器内,并触发相应逻辑电路运行.软件设计采用配置C8051F020单片机为无块选择的分片模式8位驱动.     

Automatic Cloud Detection of GF4 Multispectral Imagery Supported by the Priori Terminal Pixel Library

The GaoFen4 (GF4) satellite is China’s first geo-synchronous orbit remote sensing satellite. With the advantages of high frequency and wide width, it can provide fast and stable optical remote sensing images for agricultural, forestry, disaster reduction, meteorology, environmental protection, water conservancy and other applications in China. Efficient image automatic cloud detection helps to further improve the utilization efficiency of GaoFen4 images. CDAG（Cloud Detection Algorihtm-Generating）Cloud detection is an automatic cloud detection algorithm based on spectral analysis of pixel components, which can effectively reduce the influence of mixed pixels, complex surface structure and atmosphere. This paper aims to explore the application of CDAG algorithm in cloud detection of GaoFen4 multispectral imagery (GF4-PMS). Firstly, different cloud types and surface cover types were selected from hyperspectral images (AVIRIS) to establish cloud pixel library and clear sky pixel library. Next, the pixel library of multispectral images was simulated based on Hyperspectral pixel library and spectral response function of GF4-PMS sensor. Then, according to the spectral difference analysis of broken cloud, thin cloud, thick cloud and non-cloud pixel, the similarity probability analysis was performed on the to-be-detected pixel of the GF4-PMS image and the terminal pixel, and the GF4-PMS image cloud detection based on the optimal threshold automatic iteration was realized. Finally, cloud detection accuracy verification was carried out from multiple indicators such as cloud pixel correct rate, clear sky pixel correct rate, false positive rate and missed rate. The results show that AVIRIS images can effectively extract terminal pixel libraries for GF4-PMS image cloud detection. Clouds of Various types on GF4-PMS images can be better identified based on the CDAG algorithm. The accuracy of detection results for broken clouds, thin clouds and thick clouds with different time phases and different underlying surfaces can reach more than 90%. Therefore, the cloud detection method based on the priori terminal pixel library has a good application value for improving the utilization efficiency of GF4-PMS images.