Description: 图像融合。图像融合是指把不同传感器获得的同一景物的图像合成一张图像，以克服单一图像在焦距、曝光、光谱和空间分辨率的等方面的存在的局限性，达到提高质量的目的。-image fusion. Image Fusion is different sensors in the same features images of a synthetic image, to overcome the image of a single focus, exposure, spectral and spatial resolution of the existence of such limitations, and achieve quality. Platform: |
Size: 384304 |
Author:黄笑鹏 |
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Description: The 7" screen produces 800×RGB×600 resolution image. The LCD is drivered by a
single input voltage (3.3 V). Platform: |
Size: 380928 |
Author:赵云霞 |
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Description: 单幅图像的超分辨率，有较为详细的说明。还带有实验的文件-A single image super-resolution, there is a more detailed description. Also with the experiment file Platform: |
Size: 1702912 |
Author:p2pgrid |
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Description: 随着遥感、GIS领域对高分辨率、大幅面卫星图像的需求越来越强烈，高分辨率、大幅面可见光卫星正在迅速增加，同时，其单幅卫星图像的幅面也在急剧扩大。一般的卫星遥感图像数据量往往大到以ＧＢ为单位。
我们考虑采用分块、索引及搭建图像金字塔的方式实现大幅面卫星影像的显示与漫游。打开影像不受机器及数据量大小的限制。。。这里把源程序提供给大家。
-With remote sensing, GIS in the field of the high-resolution, large format satellite images of the demand for more and more intense, high-resolution, large format visible satellite is rapidly increasing, while its format from single satellite images are also expanding rapidly. Average amount of satellite remote sensing image data are often large in GB as a unit. We consider the block, the index and build image pyramid the way to achieve large format satellite images of the display and roaming. Open the image from the machine and the amount of data size. . . Here the source code available to everyone. Platform: |
Size: 3773440 |
Author:小田 |
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Description: 基于多帧图像插值（Interpolation）技术的方法是SR恢复技术当中最直观
的方法。这类方法首先估计各帧图像之间的相对运动信息，获得HR图像在非均
匀间距采样点上的象素值，接着通过非均匀插值得到HR栅格上的象素值，最后
采用图像恢复技术来去除模糊和降低噪声（运动估计!非均匀插值!去模糊和
噪声）。-In this paper, we propose a novel method for solv-
ing single-image super-resolution problems. Given a
low-resolution image as input, we recover its high-
resolution counterpart using a set of training exam-
ples. While this formulation resembles other learning-
based methods for super-resolution, our method has
been inspired by recent manifold learning methods, par-
ticularly locally linear embedding (LLE). Speci?cally,
small image patches in the low- and high-resolution
images form manifolds with similar local geometry in
two distinct feature spaces. As in LLE, local geometry
is characterized by how a feature vector correspond-
ing to a patch can be reconstructed by its neighbors
in the feature space. Besides using the training image
pairs to estimate the high-resolution embedding, we
also enforce local compatibility and smoothness con-
straints between patches in the target high-resolution
image through overlapping. Experiments show that our
method is very ?exible Platform: |
Size: 27595776 |
Author:qianyeyu |
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Description: 这是一篇知网的付费论文，用在基于学习的单幅图像的超分辨率分析，用马尔科夫模型构造，对研究超分辨率有很大的帮助-This is a paid HowNet papers used in the study based on single image super-resolution analysis, using Markov model structure, the study of super-resolution is very helpful Platform: |
Size: 4829184 |
Author:王婷 |
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Description: 这是单幅图像的超分辨率，用分块法的重叠算法进行，非常有用，值得参考-This is a single image super-resolution method using overlapping block algorithm is very useful, it is also useful Platform: |
Size: 7288832 |
Author:王婷 |
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Description: ：超分辨率(sR)重建技术是利用一幅或多幅低分辨率(LR)图像的信息重建出一幅高分辨率(HR)图像，同时能够
消除由成像器件引入的模糊、噪声。该技术应用领域广泛，已经成为国内外图像处理领域的研究热点之一。介绍了超分
辨率重建技术的基本原理，并分别以单帧和多帧、频域和空域为分类依据，分别阐述了超分辨率重建技术的经典方法，系
统地总结了各种方法的优缺点，提出了超分辨率重建技术可能的研究方向，从而为超分辨率重建相关技术的进一步研究
提供一定的理论基础-Abstract：Super—resolution image reconstruction technique produces a high—resolution image from seve~ low—resolution images，call al—
SO eliminate additive noise and the distinction Which has been come from limited detector of size and optical components．Therefore．it
has been a lot topic in the field of image processing．Introduces the basic principle of super—resolution reconstruction tec hnique，and classifies
the classical method based on single frame and multi frame．the frequency domain and airspace．Systematically summarizes the ad—
van tages an d disadvan tages of various methods and provide theoretical basis for the supe r—resolution reconstruction technique of further
research，and puts forward the research direction of super-resolution reconstruction technique Platform: |
Size: 355328 |
Author:liuzhao |
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Description: 用directshow写视频获取图片抓拍和显示程序，有分辨率设置，文字信息加入视频和抓拍的图片，设置文字信息的颜色和大小,这里给出单行，自己可以改成多行或者鼠标定点加入文字信息,其中也用到GDI+对多种图片格式的显示和保存。因在VC2010编译出的，里面包含已编译好的安装程序，此程序抓取的图片也可作为字符文字识别的测试平台，方便测试自己写的文字识别函数代码-For image capture and display program with the directshow write video resolution settings, text messages, video and snapping pictures, set the text color and size of the information given here to a single line, they can be changed to a multi-line text message or mouse sentinel join , which is also used to display and save GDI+ variety of image formats. VC2010 compiler, which contains the installation program has been compiled, the picture crawl in this program as a character text recognition test platform, to facilitate testing their own code written character recognition function Platform: |
Size: 5832704 |
Author:曾祥园 |
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Description: 本文提出，为第一次，一个统一的多图像超分辨率盲法（MISR或SR），单个图像模糊反卷积（二次发射离子束淀积），和多图像模糊反褶积（国际金业）的低分辨率（LR）图像退化通过线性空间不变（LSI）模糊，锯齿，加白高斯噪声（AWGN）。该方法是基于
交替最小化（AM）的一个新的成本函数
对于未知的高分辨率（HR）图像和模糊。
-This paper presents, for the first time, a unified
blind method for multi-image super-resolution (MISR or SR),
single-image blur deconvolution (SIBD), and multi-image blur
deconvolution (MIBD) of low-resolution (LR) images degraded
by linear space-invariant (LSI) blur, aliasing, and additive white
Gaussian noise (AWGN). The proposed approach is based on
alternating minimization (AM) of a new cost function with
respect to the unknown high-resolution (HR) image and blurs. Platform: |
Size: 2874368 |
Author:wangshuang |
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Description: 此代码应用双线性差值方法，进行单幅图像的超分辨率重建，里面有双线性插值的详细介绍和说明，并且有双线性插值代码的参考代码。-This code is applied bilinear interpolation method, a single image super-resolution reconstruction, which has a detailed description of the bilinear interpolation and instructions, and there bilinear interpolation code reference code. Platform: |
Size: 830464 |
Author:玄林江 |
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Description: The fusion of images is the process of combining two or more images into a single image retaining important features from each of the images. A scheme for fusion of multi-resolution 2D gray level images based on wavelet transform is presented in this paper. If the images are not already registered, a point-based registration, using affine transformation is performed prior to fusion. The images to be fused are first decomposed into sub images with different frequency and then information fusion is performed using these images under the proposed gradient and relative smoothness criterion. Finally these sub images are reconstructed into the result image with plentiful information. A quantitative measure of the degree of fusion is estimated by cross-correlation coefficient and comparison with some of the existing wavelet transform based image fusion techniques is carried out. Platform: |
Size: 3039232 |
Author:Deepesh |
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Description: 本文研究了多幅图像和单幅图像超分辨率方法。在多幅图像超分重建方面，
研究了基于凸集投影和基于正则化的超分辨率方法；在单幅图像超分重建方面，
研究了基于压缩感知的超分辨率方法。-This paper studies on the image and the image super resolution method. In the multiple image super-resolution reconstruction,
Based on the projection onto convex sets and super resolution based on regularization method in a single image super-resolution reconstruction,
Research on super resolution method based on compressed sensing. Platform: |
Size: 2611200 |
Author:贺俊 |
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Description: Single image superresolution is a classic and
active image processing problem, which aims to generate
a high-resolution (HR) image a low-resolution input image.
Due to the severely under-determined nature of this problem, an
effective image prior is necessary to make the problem solvable,
and to improve the quality of generated images.-Single image superresolution is a classic and
active image processing problem, which aims to generate
a high-resolution (HR) image a low-resolution input image.
Due to the severely under-determined nature of this problem, an
effective image prior is necessary to make the problem solvable,
and to improve the quality of generated images. Platform: |
Size: 1024 |
Author:Karthik |
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Description: 图像超分辨率重建,基于例子的单幅图像处理，对于图像处理初学者有很大帮助-image supreme-resolution，Based on the example of a single image processing, are of great help for beginners to image processing Platform: |
Size: 19456 |
Author:wenwen li |
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Description: 韩国人写的单景图像超分辨率的文章，包含具体算法，值得学习。(Foreigners wrote about the single scene image super-resolution technology article, which has a detailed algorithm, it is worth learning.) Platform: |
Size: 1247232 |
Author:NIK2012
|
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Description: Most of the medical images are affected by different types of noises during acquisition, storage and transmission. So denoising of an image is a basic step in medical image processing. The normally used filtering techniques are, median and mean filters[2] .But, a single smoothening or median filter is not enough Platform: |
Size: 12288 |
Author:shankarmmy
|
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Description: 本程序是基于单幅图像的超分辨率算法，通过对输入的高分辨率图像进行下采样得
% 到原始低分辨率图像，对输入的低分辨率图像插值后，利用DWT将低分辨率图像分
% 解为不同的4个子带；同时直接对对分辨率图像进行SWT处理。由SWT得到的高频子
% 带来修正DWT得到的高频子带。最后，通过逆离散小波变换（IDWT）组合修正的高
% 频子带和低分辨率图像，得到输出的超分辨率图像。通过计算PSNR和SSIM评价结果。(This program is a super-resolution algorithm based on a single image, which is sampled from the high resolution image of the input.
% to the original low resolution image, after interpolating the input low resolution image, the low resolution image is divided by DWT.
The% solution is different 4 subbands, and the resolution image is processed by SWT. High frequency subsets obtained by SWT
% brings the high frequency subband obtained by the modified DWT. Finally, the height of the combination of inverse discrete wavelet transform (IDWT)
% frequency subband and low resolution image, and the output super-resolution image is obtained. The results were evaluated by calculating PSNR and SSIM.) Platform: |
Size: 2048 |
Author:shuo111 |
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Search - Resolution a Single Image