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| 1 | 基于小波变换与双线性插值图像配比算法研究显示文摘插值算法常用在图像缩放中的像素点处理,目的是为了减少图像的失真和模糊.插值缩小技术可以使图像用小的信息量涵盖原图像的重要信息.插值放大技术可以使图像的分辨率提高,但同时容易出现块状和锯齿现象.为了尽量使复原图像更接近原始图像,它分析现有的常用三种插值算法(最近邻点插值、双线性插值、双三次插值),同时结合小波变换思想,提出了一种小波变换与插值的图像复原配比新方案.大量实验表明与传统的直接双线性插值复原图像以及小波与双线性插值结合重构图像相比,新方案的峰值信噪比、像素差值比、均方差都具有更为突出的优势.这种方案能有效提高图像复原的效果,并且具有普适性和灵活性,适合各类格式及尺寸图像处理. | 张小红 刘刚 | 2011 | 江西理工大学学报2011，32，1： | 9 |
| 2 | Intelligently Tuned Wavelet Parameters for GPS/INS Error Estimation显示文摘This paper presents a new algorithm for de-noising global positioning system (GPS) and inertial navigation system (INS) data and estimates the INS error using wavelet multi-resolution analysis algorithm (WMRA)-based genetic algorithm (GA) with a well-designed structure appropriate for practical and real time implementations because of its very short training time and elevated accuracy. Different techniques have been implemented to de-noise and estimate the INS and GPS errors. Wavelet de-noising is one of the most exploited techniques that have been recently used to increase the precision and reliability of the integrated GPS/INS navigation system. To ameliorate the WMRA algorithm, GA was exploited to optimize the wavelet parameters so as to determine the best wavelet filter, thresholding selection rule (TSR), and the optimum level of decomposition (LOD). This results in increasing the robustness of the WMRA algorithm to estimate the INS error. The proposed intelligent technique has overcome the drawbacks of the tedious selection for WMRA algorithm parameters. Finally, the proposed method improved the stability and reliability of the estimated INS error using real field test data. | Ahmed Mudheher Hasan Khairulmizam Samsudin Abd Rahman Ramli | 2011 | International Journal of Automation and computing2011，8，4： | 3 |
| 3 | 基于尺度函数的插值小波构建方法显示文摘经典小波采样理论应用正交小波构建插值小波,然而正交小波的解析表达式通常比较复杂或难以获得,因此在实践中确定和构建插值小波,成为信号处理及调和分析领域研究的重要课题。为此,提出一种构建插值小波的新方法。该方法应用尺度函数构建插值小波,避免了对正交小波的求解,提高了构建插值小波的效率。以Daubechies和Coiflets多分辨分析为例,验证了该方法的正确性和有效性。 | 张治国 胡学海 周依 | 2017 | 电子科技大学学报2017，46，4： | 3 |
| 4 | 基于Haar小波的多光谱油画作品DWT域水印研究显示文摘为了防止恶意篡改和保护数字化油画作品的原始信息,在400~720nm,基于液晶可调谐滤波多光谱成像系统对油画作品的多光谱图像采集,通过Haar小波的DWT域水印算法对采集的多光谱油画图像进行水印的嵌入与提取,结果得出,水印化图像与原始图像的PSNR值均在50以上,嵌入水印后的图像重建质量较好;提取的水印和原始水印的相似性系数在0.91以上。从人眼视觉感官来讲,原始图像和水印化图像、原始水印和提取的水印都几乎一致,不能区分。此算法较好地实现了多光谱图像水印的嵌入与提取,有效地保护了多光谱数字油画作品的版权。 | 曹鹏飞 彭昌宁 | 2017 | 陇东学院学报2017，28，1： | 1 |
| 5 | Appropriate Sub-band Selection in Wavelet Packet Decomposition for Automated Glaucoma Diagnoses显示文摘The most common reason for blindness among human beings is Glaucoma.The increase of fluid pressure damages the optic nerve which gradually leads to irreversible loss of vision.A technique for automated screening of Glaucoma from the fundal retinal images is presented in this paper.This paper intends to explore the significance of both the approximate and detail coefficients through wavelet packet decomposition(WPD).Decomposition is done with 'db3' wavelet function and the images are decomposed up to level-3producing 84 sub-bands.Two features,the energy and the entropy are calculated for each sub-band producing two feature matrices(158 images × 84 features).The above step is purely a statistical measure based on WPD.To enhance the diagnostic accuracy,the second phase considers the structural(biological) region of interest(ROI) in the image and then extracts the same features.It is worthy to note that direct biological features are not extracted to eliminate the drawbacks of segmentation whereas the biologically significant region is taken as biological-ROI.Interestingly,the detailed coefficient sub-bands(prominent edges) show more significance in the biological-ROI phase.Apart from enhancing the diagnostic accuracy by feature reduction,the paper intends to mark the significance indices,uniqueness and discrimination capability of the significant features(sub-bands) in both the phases.Then,the crisp inputs are fed to the classifier ANN.Finally,from the significant features of the biological-ROI feature matrices,the accuracy is raised to 85%which is notable than the accuracy of 79%achieved without considering the ROI. | Chandrasekaran Raja Narayanan Gangatharan | 2015 | International Journal of Automation and computing2015，12，4： | 0 |
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