Description: 针对图像的清晰程度提出一种新的评价方法 ,目的在于能够快速、准确地评价数字图像的清晰度。该评价方法评价参数可通过改进边缘锐度算法(EAV)得到 ,然后与机测MTF值的变化趋势一起做曲线回归分析 ,以便和其他传统清晰度评价参数做对比-For clarity of image, a new evaluation methods, with the aim to quickly and accurately evaluate the clarity of digital images. Evaluation parameters of the evaluation methods can improve the edge sharpness algorithm (EAV) has been, and then with the machine measured MTF value with changes in the trend of curve regression analysis to do so and other traditional evaluation parameters definition make comparison Platform: |
Size: 132096 |
Author:张力 |
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Description: 图像清晰度测量的算法,算法基础,易懂,适合初次接触图象清晰度的人入门用-Image sharpness measurement algorithm based on, easy to understand for the initial contact with the image clarity of a person entry with Platform: |
Size: 1024 |
Author:董华丽 |
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Description: 给出了一种基于小波变换的图像融合方法，对小波分解后的低频分量通过度量其图像块空间频率和对比度来确定融合图
像的低频分量，对分解后得到的高频分量，选择高频系数时，基于绝对值最大的原则，并对选择结果进行一致性验证，最后重构得
到融合图像。从仿真结果可以看出，给出的方法很好地保留了多幅原图像的有用信息，融合图像清晰度和对比度都较好，是一种有
效的图像融合算法-This paper presents a wavelet-based image fusion method, after the wavelet decomposition of the low frequency components through the measurement of its image block spatial frequency and contrast to determine the integration of low-frequency component images of decomposition after the high-frequency component, select the high-frequency coefficient and, based on the principle of the absolute value of the largest, and choose to verify consistency of results, and finally remodeling be fused image. From the simulation results can be seen that the method gives a good number of the original image to retain the useful information, integration of image sharpness and contrast are better, is an effective image fusion algorithm Platform: |
Size: 169984 |
Author:wd |
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Description: In this study, approaches of image enhancement, edge extraction, and
line-based image matching for remote sensing images are proposed. The
image enhancement includes noise reduction and contrast enhancement. We
apply wavelet shrinkage techniques to suppress noise while preserving the
sharpness of large-scale edges based on a Teager energy operator. Platform: |
Size: 5448704 |
Author:sacoura31 |
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Description: A Graphical user interface for image enhancement. You can set the contrast, color, sharpness as well as you can convert the rgb image to gray Platform: |
Size: 19456 |
Author:HirenParmar |
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Description: 利用彩色蛇模型对彩色图像进行处理，即不将彩色图像分为Ｒ，Ｇ，Ｂ三个分量，而是将彩色图像视为单一簇的处理，反而会得到更好的边缘清晰度-The use of color snake model for color image processing, that is, not the color image into R, G, B three-component, but rather as a single cluster of color image processing, it will get better edge sharpness Platform: |
Size: 8192 |
Author:紫星 |
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Description: 基于C++和Matlab的图像分割和清晰度评价函数。采用图像信息熵来作为清晰度评价函数。-C++ and Matlab-based image segmentation and definition evaluation function. Using image information entropy as the sharpness function. Platform: |
Size: 1024 |
Author:王斌 |
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Description: 一种基于图像像素分类的快速计算图像清晰度评价值函数。-Pixel classification based on image sharpness of the image evaluation value fast computing functions. Platform: |
Size: 1024 |
Author:小角 |
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Description: 实现图像清晰度检测的代码，opencv实现，值越大越模糊-The sharpness of the image detection code, opencv achieve, the greater the value the more vague Platform: |
Size: 4139008 |
Author:hao |
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Description: 通过编译后在保持图象边缘的清晰度的条件下同时显示原图和放大图-By compiled maintaining edge sharpness of the image also shows original condition and Enlargement Platform: |
Size: 2048 |
Author:肥子逸 |
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Description: 图像中汽车牌照定位的准确与否,直接关系到自动车牌识别系统的整体性能.考虑由于时间和气候光照特性不同造成车牌图片清晰度的明显差异,提出一种新的自适应动态阈值车牌定位的算法.该方法首先分析图像的清晰度,将图像的白点数固定在一个与差分均值成正比的比例值内.然后,去除离散噪声.针对车牌区域的行和列有不同的特征,用不同的方法进行车牌横向和纵向区域的精确定位,最终找到目标车牌区域.实验显示,该方法对车牌定位的准确率达到98.7 -Image vehicle license positioning accuracy is directly related to the automatic license plate recognition system s overall performance. Considered due to time and weather caused by different license plate illumination characteristics significantly different picture clarity, a new adaptive dynamic threshold plate positioning algorithm the method first analyzes the sharpness, the white point of the image in a fixed proportion of the differential value is proportional to the mean inner then, remove the discrete noise plate area for the rows and columns have different characteristics, with different methods for horizontal and vertical plates pinpoint areas, and ultimately find the target plate region. experiments show that the method plate positioning accuracy rate of 98.7 Platform: |
Size: 12822528 |
Author:caizheng |
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Description: 此程序为MATLAB环境下编写的用于对图像的平均梯度进行计算 从而对图像的清晰度 图像的质量进行评价的代码。-This program is written in MATLAB environment is used to calculate the average gradient image sharpness of the image and thus to evaluate the image quality of the code. Platform: |
Size: 1024 |
Author:May |
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Description: Color Image Enhancement Techniques:
A Critical Review
Abstract
Image enhancement is one of the key issues in high quality pictures such as digital camera and HDTV. Since
Image clarity is very easily affected by lighting, weather, or equipment that has been used to capture the image.
These conditions lead to image may suffer from loss of information. As a result, many techniques have
developed known as image Enhancement techniques to recover the information in an image. This paper presents
a literature review on some of the image Enhancement techniques for color image enhancement like, Contrast
Stretching, Histogram Equalization and its improvement versions, Homomorphic Filtering, Retinex, and
Wavelet Multiscale Transform. Comparison of all the techniques concludes the better approach for its future
research Platform: |
Size: 1063936 |
Author:hussain |
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Description: 用charal函数实现对加噪降晰图像的反降晰.charal函数实现约束最小二乘法的算法，其中alpha（1/lamda）由Charalambous确定.反降晰的图像相对于降晰加噪图像清晰度有所提升，但是反降晰的图像存在较为明显的寄生波纹。-Deblurring the blurred image with noise by using Charal function. Charal function implements constrained least squares algorithm, where alpha (1/lamda) is determined by Charalambous. Compared to the blurred image, the sharpness of the image deblurred has improved, but obvious parasitic ripples arise. Platform: |
Size: 1024 |
Author:suibianfen |
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Description: 该代码是关于图像处理中的图像均衡的内容，利用直方图均衡化之后，原来比较少像素的灰度会被分配到别的灰度去，像素相对集中， 处理后灰度范围变大，对比度变大，清晰度变大，所以能有效增强图像。-The code is a graphic equalizer content on image processing, after histogram equalization, less original pixel gray gray will be assigned to another go, the relative concentration of pixels, larger post-processing grayscale range, contrast becomes large, sharpness becomes large, it is possible to effectively enhance the image. Platform: |
Size: 112640 |
Author:zzuzwj |
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Description: 对图片进行边缘检测，可设置不同的参数值显示不同的边缘清晰度，并生成图片-Image edge detection, so that the edge of the image exhibit different sharpness by setting different parameters and generates pictures Platform: |
Size: 1024 |
Author:刘子畅 |
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Description: 该程序为数字图像处理中的同态增晰，可以实现对图像的清晰度处理，以提高对比度。程序内附有Matlab的GUI操作界面，可任意调节各相关参数，并选取适合的滤波器（包含高斯滤波、一阶、二阶巴特沃斯滤波）。-The program for digital image processing in the same state increased clarity, sharpness of the image can be achieved, so as to improve clarity. Matlab program has included a GUI interface, all relevant parameters can be adjusted, and the appropriate filter. Platform: |
Size: 581632 |
Author:赵龙 |
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Description: 对含有高斯噪声的图像进行图像去噪处理，比较原图像和去噪后图像的清晰度。-Image containing Gaussian noise image denoising, sharpness comparison of the original image and the denoised image. Platform: |
Size: 2048 |
Author:孙运慧 |
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Description: 基于LDC的图像过渡区提取与分割
提出一种基于局部清晰度-复杂度的图像过渡区提取算法,通过计算图像局部清晰度获得清晰度图 像,增加了过渡区灰度层次信息,再计算清晰度图像的局部复杂度,并根据复杂度曲线确定过渡区提取门限对过渡区进行提取,根据提取的过渡区灰度直方图,获得 图像的分割阈值并对图像进行分割。实验结果表明,本文方法比传统的基于局部复杂度法提取的过渡区更加准确,图像分割效果更好
-LDC image transition region extraction and segmentation based on a proposed resolution based on local- image transition region extraction algorithm complexity, obtained by calculating the local image sharpness resolution images, increase the transition zone gradation information, and then calculate clarity local complexity of the image, and according to the complexity of the curve to determine the transition region extraction threshold of the transition region is extracted, according to the extracted histogram transition area, obtaining an image segmentation threshold and image segmentation. Experimental results show that this method than the traditional extraction method based on local complexity of the transition zone is more accurate and better image segmentation results Platform: |
Size: 441344 |
Author:fangsm |
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Description: 提升图像再放大后的清晰度，代码中已有网络模型，需要进行训练(The sharpness of the enhanced image, the network model in the code, which needs to be trained) Platform: |
Size: 28156928 |
Author:捏uu
|
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Search - sharpness of the image