Description: image enhancement by nonlinear extrapolation in frequency space。使用小波进行边缘锐化和增强的论文-image enhancement by nonlinear extrapolation in frequency space. The use of wavelet edge sharpen and enhance the thesis Platform: |
Size: 2701312 |
Author:明天 |
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Description: （1）获得图象的直方图，将其均衡化，显示灰度变换函数及图象效果；
（2）分别用梯度法、拉氏算子、Sobel算子以及中值过滤等方法对图象进行增强，并对增强效果进行比较；
（3）用钝化算子、高频提升、内查、外推等方法对图象进行增强。
（4）用Matlab工具进行彩色图象增强方法和彩色图象处理方法的实验-(1) to obtain images of the histogram equalization to show gray-scale transformation function and image results (2), respectively, with gradient method, Laplace operator, Sobel operator and the value of filters and other methods of image to strengthen and enhance the effectiveness of comparison (3) passivation operator, high-frequency enhancement in the investigation, the extrapolation methods of image enhancement. (4) using Matlab tools color image enhancement and color image processing method of experiment Platform: |
Size: 2270208 |
Author:杨怡 |
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Description: 对BMP格式文件进行处理，有图像的反色处理、插值外推、运动图像恢复等功能。-BMP format to be processed, and the anti-color image processing, interpolation extrapolation, sports features such as image restoration. Platform: |
Size: 4328448 |
Author:yqwh |
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Description: 一种使用牛顿迭代的超分辨算法，该算法以2的对数提高传统Landweber算法的运算速度，附带文章。-The problem of poor resolution of acquired image in the passive millimeter wave imaging stems mainly from antenna size limitations, thus necessitating efficient post-processing to achieve resolution improvements. A novel image super-resolution algorithm, Regularized-Newton-Residual (RNR) algorithm, is proposed for Passive Millimeter wave imaging (PMMW). First Newton inversion algorithm is introduced into the field of image restoration. The iterative scheme of Newton algorithm is deduced based on normal equation. Then, residual method is employed to achieve better performance and implement spectrum extrapolation. Experimental results demonstrate the algorithm is insensitive to noise distribution. Furthermore it has high super-resolution rate and fast convergence speed. Platform: |
Size: 6144 |
Author:姜正茂 |
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Description: 数字图像处理matlab实现，包括如下程序：
1.直方图规定化为高斯双峰函数
2.窗口形状自适应（十字形或矩形）的中值滤波
3.彩色图像目标提取并与背景图像合成
4.插值外推法的彩色图像饱和度调整
5.多种插值方法实现的图像放大和缩小
6.频域变换及分析
7.几何校正
8.插值外推法的黑白图像对比度增强
9.运动模糊矫正-Digital image processing matlab realize, including the following procedures: (1) the bimodal histogram specification as a function of two Gaussian shape adaptive window (cross or rectangular) median filtering three color image with the background object extraction and image synthesis 4. Color image interpolation extrapolation saturation adjustment 5. various interpolation methods to achieve images zoom in and out 6. frequency domain transformation and analysis 7. geometric correction 8. interpolation extrapolation of the black and white image contrast enhancement 9. motion blur correction Platform: |
Size: 7168 |
Author:Yan |
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Description: 毫米波图像超分辨复原，采用基于最大似然函数的算法，实现频谱外推-Millimeter wave image super-resolution restoration, using an algorithm based on maximum likelihood function, the spectrum extrapolation Platform: |
Size: 7168 |
Author:李思萌 |
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Description: 基于最大后验概率的超分辨图像复原，能够较好的实现频谱外推，实验结果正确-Super-resolution image restoration based on maximum posterior probability, it is possible to achieve a better spectrum extrapolation, experimental results are correct Platform: |
Size: 5120 |
Author:李思萌 |
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Description: This an article explaining an experiment of extrapolation in image time series. Through Linear Regression and Quadratic Regression, we can estimate the satellite image a sequence of images the past.-This is an article explaining an experiment of extrapolation in image time series. Through Linear Regression and Quadratic Regression, we can estimate the satellite image a sequence of images the past. Platform: |
Size: 162816 |
Author:Totin |
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Description: Theory of large2step wavefield depth extrapolation
Wavefield extrapolation is the foundation of seismic migration imaging. Finding a way of quick and
object oriented wavefield extrapolation is significant not only for deep seismic exploration but also for imaging
with super2tremendous seismic data acquired non2combination receivers , both highly needed to develop in
petroleum prospecting. To image target zones , as far as all present wavefield extrapolation methods are
concerned , including travel2time based Dix2formula methods , ray tracing , small2step depth recursion-Theory of large2step wavefield depth extrapolation
Wavefield extrapolation is the foundation of seismic migration imaging. Finding a way of quick and
object oriented wavefield extrapolation is significant not only for deep seismic exploration but also for imaging
with super2tremendous seismic data acquired non2combination receivers , both highly needed to develop in
petroleum prospecting. To image target zones , as far as all present wavefield extrapolation methods are
concerned , including travel2time based Dix2formula methods , ray tracing , small2step depth recursion Platform: |
Size: 772096 |
Author:txd |
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Description: This program implements the rendering framework that is used in the paper
D. De Silva, W. Fernando, and H. Kodikaraarachchi,
“A NEW MODE SELECTION TECHNIQUE FOR CODING DEPTH MAPS OF 3D VIDEO,” IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2010. pp. 686-689. Mar. 2010.
which has the following features:
1. Depth maps are interpreted according to the MPEG Informative
Recommendations in MPEG Doc. N8038.
2. Left image is rendered Right most pixel to the Left most pixel and Right Image is rendered vice versa. This is done to make sure that no background pixels would appear as foreground.
3. Disocclusions are filled with Background pixel extrapolation,
however with some small modifications. Disocclusions are filled in the opposite direction to rendering.
- This program implements the rendering framework that is used in the paper
D. De Silva, W. Fernando, and H. Kodikaraarachchi,
“A NEW MODE SELECTION TECHNIQUE FOR CODING DEPTH MAPS OF 3D VIDEO,” IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2010. pp. 686-689. Mar. 2010.
which has the following features:
1. Depth maps are interpreted according to the MPEG Informative
Recommendations in MPEG Doc. N8038.
2. Left image is rendered Right most pixel to the Left most pixel and Right Image is rendered vice versa. This is done to make sure that no background pixels would appear as foreground.
3. Disocclusions are filled with Background pixel extrapolation,
however with some small modifications. Disocclusions are filled in the opposite direction to rendering.
Platform: |
Size: 1412096 |
Author:phonox |
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Search - image extrapolation