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imsharpen

Sharpen image using unsharp masking

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Syntax

B = imsharpen(A)
B = imsharpen(A,Name,Value)

Description

example

B= imsharpen(A)sharpens the grayscale or truecolor (RGB) input imageAby using theunsharp masking方法。

example

B= imsharpen(A,Name,Value)使用名称值对来控制取消扫描屏蔽的方面。

Examples

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打开直播脚本

将图像读入工作区并显示它。

a = imread（'hestain.png'); imshow(a) title('Original Image');

Figure contains an axes object. The axes object with title Original Image contains an object of type image.

Sharpen the image using theimsharpenfunction and display it.

b = imsharpen（a）;图，imshow（b）标题（'Sharpened Image');

Figure contains an axes object. The axes object with title Sharpened Image contains an object of type image.

打开直播脚本

将图像读入工作区并显示它。

a = imread（'rice.png'); imshow(a), title('Original Image');

Figure contains an axes object. The axes object with title Original Image contains an object of type image.

Sharpen image, specifying theradius和数量parameters.

b = imsharpen(a,'半径',2,'Amount'，1）;图，imshow（b）标题（'Sharpened Image');

Figure contains an axes object. The axes object with title Sharpened Image contains an object of type image.

Input Arguments

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Image to be sharpened, specified as a grayscale or RGB image.

IfAis a truecolor (RGB) image, thenimsharpenconverts the image to theL*a*b*color space, applies sharpening to theL*channel only, and then converts the image back to the RGB color space before returning it as the output imageB.

Data Types:single|double|int8|INT16|int32|uint8|uint16|uint32

Name-Value Arguments

Specify optional comma-separated pairs ofName,Valuearguments.Nameis the argument name and价值是相应的价值。Namemust appear inside quotes. You can specify several name and value pair arguments in any order asname1，value1，...，namen，valuen.

Example:'半径',1.5

Standard deviation of the Gaussian lowpass filter, specified as a positive number. This value controls the size of the region around the edge pixels that is affected by sharpening. A large value sharpens wider regions around the edges, whereas a small value sharpens narrower regions around edges.

Example:'半径',1.5

Data Types:single|double|int8|INT16|int32|int64|uint8|uint16|uint32|uint64

锐化效果的强度，指定为数字标量。更高的值导致锐化像素的对比度的更大增加。此参数的典型值在范围内[0 2], although values greater than2被允许。此参数的非常大的值可以在输出图像中产生不期望的影响。

Example:'Amount',1.2

Data Types:single|double|int8|INT16|int32|int64|uint8|uint16|uint32|uint64

像素被视为边缘像素所需的最小对比度，指定为范围的标量[01]。较高的值（更接近1）允许仅在高对比度区域（例如强边）的高度区域锐化，同时留下低对比度区域不受影响。较低的值（更接近0），另外允许在图像的相对更平滑的区域中锐化。该参数可用于避免输出图像中的锐化噪声。

Example:'Threshold',0.7

Data Types:single|double|int8|INT16|int32|int64|uint8|uint16|uint32|uint64

Output Arguments

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尖锐的形象,返回a numeric array of the same size and class as the input imageA.

More About

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Sharpening

Sharpness is actually the contrast between different colors. A quick transition from black to white looks sharp. A gradual transition from black to gray to white looks blurry. Sharpening images increases the contrast along the edges where different colors meet.

Unsharp masking

The unsharp masking technique comes from a publishing industry process in which an image is sharpened by subtracting a blurred (unsharp) version of the image from itself. Do not be confused by the name of this filter: an unsharp filter is an operator used to sharpen an image.

See Also

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在R2013A介绍

图像处理工具箱Documentation

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与Matlab引入深度学习

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