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Personality-icon-generated
- JPG格式图像文件生成为16*16、32*32类型ICO格式图标文件，并可进行编辑个性图标。-JPG file format images born become 16* 16, 32* 32 types ICO format icon file, and edit personality icon.
restoration
- （1） 先由原始图像（任选）产生待恢复的图像；(产生方法如下：冲激函数为 ，将原始图像与冲激函数卷积产生模糊，然后再迭加均值为0，方差为8，16，32的高斯随机噪声而得到一组待恢复的图像。分别用逆滤波和维纳滤波恢复模糊后的图像。-(1) The first be the original image (optional) produces the image to be restored (generated as follows: impulse function, the original
32bBMP_to_data_converter
- 32位bmp提取出16位数据:每个16位像素的字节的数据用逗号隔开，保持为txt文件。-32-bit bmp extract 16-bit data: 16 bits per pixel of data bytes separated by commas, to keep the txt file.
MFC_BMP
- 自己写的MFC写的BMP图象处理程序,实现反色,直方图等简单的图象处理,同时支持8位,16位,32位BMP的变换,简单易懂,适合初学者.-Write your own MFC write BMP image processing procedures, to achieve the anti-color, histogram and other simple image processing, while supporting 8-bit, 16-bit, 32-bit BMP transfor
caisechuli
- 分别采用2、8,16、32个灰度级进行伪彩色处理-2,8,16,32 a gray-scale were used for pseudo-color processing
ImageMV
- 获得两张图片相比的运动矢量.通过物体模板匹配 模板大小可以变。支持16×16 32×32等-Get Motion Vection From two pgm
gaborfilter.tar
- Gabor滤波器经常被用于形状检测和特征提取，比如增强指纹图像。本代码用matlab实现了一个二维Gabor滤波器。 代码使用如下： function [G,gabout] = gaborfilter1(I,Sx,Sy,f,theta) from gaborfilter1 with different f(Frequency) and theta(Angle). for example f:0,2,4,8,16,32 theta = 0,pi/3,pi/6
FDCT_transformation
- 主要是离散余弦变换和离散余弦逆变换的实现，同时针对不同的情况，有4*4，8*8，16*16，32*32几种情况。速度快-Mainly discrete cosine transform and inverse discrete cosine transform implementation, and for different circumstances, there are 4* 4,8* 8,16* 16,32* 32 situations. Fast
image_processing_quantize
- 本文件利用matlab对图像进行scalar quantization。程序分别对图像进行了8，16，32，64level量化，同时计算出了不同level的MSE/SNR/PSNR 。-This matlab file realize the scalar quantization on the image. The program quantizes the image with 8, 16, 32, 64 levels respectively, and then compute the v
Digital-image-processing-experiment
- 将LENA图像分别进行4倍和16倍减采样并对减采样的效果进行描述 将LENA图像转换成256、62、32、8、2 级灰度图像，并对灰度减小后的图像效果进行-Will LENA image separately and 16 times as much as four times and reduce sampling the effects of reducing sampling the LENA images into 256, 62, 32, 8, 2 levels of gray ima
huffman
- 分别为16位，32位哈夫曼编码与解码实现 ，数字图像处理课程设计-16 32 Huffman encoding and decoding implementations, digital image processing course design
Takethefonttool
- 取字模工具，可以取16*16 ，16*32,32*32的字模，二进制或十六进制-Check matrix tool, you can take 16* 16, 16* 32, 32* 32 matrix, binary or hexadecimal
D
- 灰度图像的量化和直方图均衡化直接调用函数。量化是指将像素灰度转换成离散的整数值的过程。量化等级越多，所得图像层次越丰富，灰度分辨率高，图像质量好，但数据量大。-Write MATLAB functions to quantize grayscale image with given quantization step Q. Process the given test images “Lena” with quantization steps Q=2, 4, 8 16, 32, 64, 1
Reducing-the-Number-of-Gray-Levels
- 用matlab实现改变图像灰度值，输出依次为原图像（灰度值256），128,64,32,16,8,4,2-Reducing the Number of Gray Levels in an Image (a) Write a computer program capable of reducing the number of gray levels in an image 256 to 2, in integer（整数） powers of 2. The desired number
DecimalConversion
- 十进制转换成2、8、16、32进制生成exe-2,8,16,32 converted into decimal notation to generate exe
lena-graychazhi
- 对lena图像分别进行4倍和16倍减采样，将256级的lena图像转换成128级灰度图像，64级灰度图像，32级灰度图像-Gray image of lena were reduced four times and 16 times sampling, 256 of 128 lena image is converted into a grayscale image, the 64-level grayscale images, 32 gray-scale image