Description: 本程序基于Matlab,初步实现图像增强的基本操作,实现 图像明暗度调整， 图像旋转，更改颜色显示方式，直接灰度调整，图像求反，动态范围压缩，显示原始图像直方图，直方图均衡化，滤波增强等功能-This procedure based on Matlab, the initial realization of the basic operation of image enhancement, image brightness adjustment, image rotation, change the color display, direct gray-scale adjustment, for anti-image, dynamic range compression, display the original image histogram, histogram equalization , enhanced features such as filtering Platform: |
Size: 2441216 |
Author:funfunhit |
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Description: 1． 图像文件的格式；
2． 图像编程的基础-操作调色板；
3． 图像数据的读取、存储和显示、如何获取图像的尺寸等；
4． 利用图像来美化界面；
5． 图像的基本操作：图像移动、图像旋转、图像镜像、图像的缩放、图像的剪切板操作；
6． 图像显示的各种特技效果；
7． 图像的基本处理：图像的二值化、图像的亮度和对比度的调整、图像的边缘增强、如何得到图像的直方图、图像直方图的修正、图像的平滑、图像的锐化等、图像的伪彩色、彩色图像转换为黑白图像、物体边缘的搜索等等；
简单易懂 很好学
-1. Image file format
2. Image of the basic programming- operation of the palette
3. Read image data, storage and display, how to obtain the image size, etc.
4. Use of images to beautify the interface
5. Image basic operations: image movement, image rotation, image mirroring, image scaling, image clipboard operation
6. Image shows a variety of special effects
7. The basic image processing: image binarization, image brightness and contrast adjustments, image edge enhancement, how to get the image histogram, image histogram amendments, image smoothing, image sharpening, etc., images of pseudo- color, color image converted to black and white images, objects and so on the edge of the search
Very good easy to understand study Platform: |
Size: 51200 |
Author:刘铁桥 |
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Description: This paper describes basics of Image Enhancement using histogram based techniques.Image Enhancement is largely used as pre processing unit in various vision based systems. Histograms based techniques tends to improve in colour quality, intensity features and brightness redistribution. Platform: |
Size: 480256 |
Author:kalia |
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Description: 现有的直方图均衡算法在增强图像对比度的同时， 输出图像的亮度与输入图像无关， 并且在均衡区域产生亮度饱和现象，提出了一种新的直方图均衡算法。以亮度保持的双直方图均衡算法( B B HE )为基础，改进其对子图像的分类方式：根据直方图对图像进行多峰值分解，得到一系列不同范围的子图像，然后对每一个子图像在其相应的灰度范围内进行直方图均 衡， 最后合并这些子图像的均衡结果。实验结果表明，直方图均衡新算法不仅在保持了输出图像亮度的同时， 而且非常有效 的解决了在原图像均衡区域产生的亮度饱和问题对图像的影响。-The existing histogram balanced algorithm during enhancement image contrast gradient s, outgoing picture s brightness has nothing to do with the input picture, and has the brightness saturated phenomenon in the balanced region, proposed one kind of new histogram balanced algorithm. The double histogram balanced algorithm which maintains by brightness (B B HE) is a foundation, improves its antithetical couplet image the classified way: Carries on the multi-peak values according to the histogram to the image to decompose, obtains a series of different scope sub-image, then carries on the histogram to each sub-image in its corresponding density latitude to be balanced, finally merges these sub-image balanced result. The experimental result indicated that the histogram balanced new algorithm not only while maintained outgoing picture brightness, moreover the very effective solution the brightness saturated question which produced in the original image balanced region to the image the influ Platform: |
Size: 225280 |
Author:王一 |
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Description: 程序实现对BMP格式图像的处理，图像处理功能包括上一幅、下一幅、负片、线性变换、直方图、直方图增强、缩放、旋转、膨胀、腐蚀、二值化、彩色转黑白、黑白转真彩色、亮度调整、图像相加、图像相减、中值滤波、均值滤波、产生噪声、锐化与边缘检测等等，基本实现了对BMP格式图像的所有处理。-Program to achieve the BMP format image processing, image processing functions, including the one, the next one, negative, linear transformation, histogram, histogram enhancement, zoom, rotate, dilation, erosion, binary, color to black and white, turn really black and white color, brightness adjustment, image adding, image subtraction, median filtering, average filtering, noise, sharpening and edge detection, etc., basically BMP format images of all the processing. Platform: |
Size: 2327552 |
Author:徐 |
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Description: 1． 图像文件的格式；
2． 图像编程的基础-操作调色板；
3． 图像数据的读取、存储和显示、如何获取图像的尺寸等；
4． 利用图像来美化界面；
5． 图像的基本操作：图像移动、图像旋转、图像镜像、图像的缩放、图像的剪切板操作；
6． 图像显示的各种特技效果；
7． 图像的基本处理：图像的二值化、图像的亮度和对比度的调整、图像的边缘增强、如何得到图像的直方图、图像直方图的修正、图像的平滑、图像的锐化等、图像的伪彩色、彩色图像转换为黑白图像、物体边缘的搜索等等；
8． 二值图像的处理：腐蚀、膨胀、细化、距离变换等；
9． 图像分析：直线、圆、特定物体的识别；
10．JEPG、GIF、PCX等格式文件相关操作；
11．图像文件格式的转换；
12．图像的常用变换：付利叶变换、DCT变换、沃尔什变换等；
13．AVI视频流的操作；
-A.Image file formats
Two. Image programming- operation palette
3. Read image data, storage and display, how to obtain the size of the image, and so on
4. Using images to beautify the interface
5 The basic operation of the image: Image Shift, Image rotate, mirror images, image scaling, image, clipboard operations
6. The image shows a variety of special effects
7. Image processing: image binarization, image brightness and contrast adjustment, image edge enhancement, how to get the correction of the image histogram, image histograms, image smoothing, image sharpening, the image of pseudo-color, color image converted to black and white images, the edges of objects in the search
8. Binary Image Processing: corrosion, expansion, refinement, distance transform
9. Image analysis: the identification of lines, circles, specific objects
10. JEPG, GIF, PCX format file related operations
11. Conversion of image file formats
12. Images commonly used transf Platform: |
Size: 24576 |
Author:feiying |
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Description: Histogram equalization is widely used for contrast
enhancement in a variety of applications due to its
simple function and effectiveness. Examples include
medical image processing and radar signal process-
ing. One drawback of the histogram equalization can
be found on the fact that the brightness of an im-
age can be changed after the histogram equalization,
which is mainly due to the flattening property of the
histogram equalization. Thus, it is rarely utilized in
consumer electronic products such as TV where pre-
serving original input brightness may necessary in or-
der not to introduce unnecessary visual deterioration.
This paper proposes a novel extension of histogram
equalization to overcome such drawback of the his-
togram equalization. -Histogram equalization is widely used for contrast
enhancement in a variety of applications due to its
simple function and effectiveness. Examples include
medical image processing and radar signal process-
ing. One drawback of the histogram equalization can
be found on the fact that the brightness of an im-
age can be changed after the histogram equalization,
which is mainly due to the flattening property of the
histogram equalization. Thus, it is rarely utilized in
consumer electronic products such as TV where pre-
serving original input brightness may necessary in or-
der not to introduce unnecessary visual deterioration.
This paper proposes a novel extension of histogram
equalization to overcome such drawback of the his-
togram equalization. Platform: |
Size: 1824768 |
Author:Fahad Najeeb |
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Description: 用matlab编程工具，编写具有操作界面的应用程序，通过菜单、对话框，选项框等界面控制，对算法进行演示。需要在应用系统中实现的算法及功能包括：
1、图像增强算法
（1）灰度线形变换：亮度及对比度可以调节（通过控制参数的改变，能够实时预览变化结果）；
（2）直方图均衡：可在界面上对比均衡前后的效果。
2、图像变换算法
（3）对一幅彩色图像进行DCT变换和反变换，对比结果和原图；
（4）仅保留左上角16X16的DCT系数，进行反变换，计算结果图的信噪比SNR。
3、图像分割算法
（5）采用最优阈值算法对灰度图像进行分割；
（6）用Canny算法对灰度图像进行边缘检测；
（7）用hough变换，检测边缘图像中的直线，并用不同颜色将检测出的直线叠加显示到原图像上。
-Preparation of a user interface with Matlab programming tools, applications, menus, dialog boxes, option boxes and other interface control, the algorithm demo. Algorithms and functions that need to be achieved in the application system including: 1, the image enhancement algorithm (1) gray linear transformation: the brightness and contrast can be adjusted (by controlling the change of the parameters, it is possible to real-time preview changes result) (2) Histogram equalization : contrast before and after equalization effect in the interface. 2, an image transformation algorithm (3) for a color image DCT transform and inverse transform, comparing the results and the original (4) to retain only the upper left corner of 16x16 DCT coefficient, the inverse transform, the signal-to-noise ratio SNR calculation results of FIG. . 3, image segmentation algorithm (5) The optimal threshold algorithm to gray-scale image segmentation (6) Canny algorithm for edge detection of gray-scale images ( Platform: |
Size: 822272 |
Author:张涛 |
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Description: 基于直方图均衡的低照度图像增强,
首先将图像由RGB空间转换到HSI空间，然后对HSI空间亮度分量（I分量）的灰度直方图进行均衡化处理，提高图像的亮度，然后转换回RGB空间显示-Illumination image enhancement based on histogram equalization,
First, convert the image from RGB space to HSI space, and then the luminance component of the HSI space (I component) histogram equalization processing to improve the brightness of the image, and then converted back to RGB space for display Platform: |
Size: 1024 |
Author:zhangdc |
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Description: （1）、独立设计方案，根据所学知识，对由于曝光过度、光圈过小或图
像亮度不均匀等情况下的彩色图像进行增强，提高图像的清晰度（通俗地讲，就是图像看起来干净、对比度高、颜色鲜艳）。
（2）、参考photoshop 软件，设计软件界面，对处理前后的图像以及直方图等进行对比显示；
（3）、将实验结果与处理前的图像进行比较、分析。总结设计过程所遇到的问题。
-(1), independent design, based on the knowledge of overexposure due aperture is too small or Figure
Uneven brightness, color images like the case will be enhanced to improve the clarity of the image (simply, that is the image looks clean, high contrast, bright colors).
(2), the reference photoshop software, design software interface for image processing before and after comparison and histogram display
(3) the results of the image processing before the comparison and analysis. Summary of the design process encountered problems. Platform: |
Size: 966656 |
Author:李凯 |
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Description: （1）、独立设计方案，根据所学知识，对由于曝光过度、光圈过小或图
像亮度不均匀等情况下的彩色图像进行增强，提高图像的清晰度（通俗地讲，就是图像看起来干净、对比度高、颜色鲜艳）。
（2）、参考photoshop 软件，设计软件界面，对处理前后的图像以及直方图等进行对比显示；
（3）、将实验结果与处理前的图像进行比较、分析。总结设计过程所遇到的问题。
-(1), independent design, based on the knowledge of overexposure due aperture is too small or Figure
Uneven brightness, color images like the case will be enhanced to improve the clarity of the image (simply, that is the image looks clean, high contrast, bright colors).
(2), the reference photoshop software, design software interface for image processing before and after comparison and histogram display
(3) the results of the image processing before the comparison and analysis. Summary of the design process encountered problems. Platform: |
Size: 966656 |
Author:李凯 |
Hits:
Description: 有源码，适合学习C++的人
一、 读入一幅灰度图象，编写程序显示图象中任一象素点的灰度值。
二、 编程实现RGB彩色空间到HSV彩色空间的转换，并通过调整H、S、V的值实现图像亮度、色度和色饱和度的调节。
三、 1.灰度线性变换、分段线性变换
2.灰度直方图均衡、规格化
3.图象卷积：各种模板实现低通、高通滤波
4.图象中值滤波、最大值滤波、最小值滤波、模板选择滤波
5.伪彩色图象增强
四、 1.图象的加、减、乘、除和逻辑运算。
2.图象的镜像变换、图象的缩放（灰度插值）变换
五、 编程实现图象的FFT变换和反变换
六、 用逆滤波方法和维纳滤波方法恢复运动模糊图象（加噪声和不加噪声）
七、 编写程序实现灰度图象的分割：
1、阈值化算法：手动阈值、自动阈值(大津阈值)
2、区域生长
3、区域分裂合并-There is source code for learning C++ people one reads a grayscale image, write a program to display the image in any one pixel gray value. Second, the programming RGB color space to the HSV color space conversion, and by adjusting the H, S, V values achieve adjust image brightness, color and color saturation. Third, 1 gray linear transformation, piecewise linear transformation 2. histogram equalization 3. image normalized convolution: a variety of templates for low pass, high pass filter 4. image median filtering, the maximum filter minimum filtering, template selection pseudo-color image enhancement filter 5. four, plus 1 image, subtract, multiply, divide, and logic operations. 2. The image of image transformation, zoom images (grayscale interpolation) into five, programming image of FFT and inverse transform six, inverse filtering method and Wiener filtering method to restore motion blur image (plus noise and without noise) Seven, programming Grayscale image segmentation: 1, thresho Platform: |
Size: 1072128 |
Author:zl |
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Description: 图像增强是指按特定的需要突出一幅图像中的某些信息，同时，消弱或去除某些不需要的信息的处理方法。其主要目的是使处理后的图像对某些特定的应用比原来的图像更加有效。图像增强技术主要包含直方图修改处理、图像平滑化处理、图像尖锐化处理、和彩色处理技术等。图像增强有图像对比度增强、亮度增强，轮廓增强等等。(Image enhancement refers to the way in which certain information is highlighted in an image according to specific needs, and the processing method of eliminating or removing certain unnecessary information is also required. The main purpose is to make the processed image more effective than the original image for certain applications. Image enhancement technology mainly includes histogram modification processing, image smoothing processing, image sharpness processing, and color processing technology. Image enhancement has image contrast enhancement, brightness enhancement, contour enhancement and so on.) Platform: |
Size: 10240 |
Author:梁LHM |
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Search - brightness enhancement image histogram