Multiple image enhancement cases based on Matlab (attach source code + data set)

Image enhancement is an important step in digital image processing. It uses a series of algorithms and techniques to make images visually clearer, brighter, and stronger in contrast, so as to better meet people's needs. In this article, we will introduce how to implement image enhancement using Matlab.

Part of the source code

First, we need to load the image. In Matlab, imreadimages can be loaded using the function. For example, we can load an image called "image.jpg":

image = imread('image.jpg');

Next, we can use various image enhancement algorithms and techniques to improve the quality of the image. Below are some examples of commonly used image enhancement methods.

1. Grayscaling
   Grayscaling is the process of converting a color image to a grayscale image. In Matlab, rgb2graya function can be used to convert a color image to a grayscale image. For example:

   gray_image = rgb2gray(image);
   

2. Contrast Enhancement
   Contrast is the degree of difference between different gray levels in an image. Contrast enhancement can make images clearer and details stand out. In Matlab, imadjustfunctions can be used to adjust the contrast of an image. For example:

   enhanced_image = imadjust(image);
   

3. Histogram equalization
   Histogram equalization is a commonly used image enhancement method, which can enhance the contrast and brightness of the image. In Matlab, you can use histeqthe function to perform histogram equalization. For example:

   enhanced_image = histeq(image);
   

4. Sharpening
   Sharpen can make the edges of the image clearer and the details more obvious. In Matlab, you can use imsharpenthe function to sharpen the image. For example:

   sharpened_image = imsharpen(image);
   

The above are just examples of some commonly used image enhancement methods, in fact there are many other methods that can be used. In practical applications, we can choose a suitable image enhancement method according to specific needs.

Finally, we can use imshowfunctions to display the enhanced image and imwritefunctions to save the enhanced image to a file. For example:

imshow(enhanced_image);
imwrite(enhanced_image, 'enhanced_image.jpg');

Through the above steps, we can use Matlab to achieve image enhancement. By adjusting parameters and trying different image enhancement methods, we can get better image quality and meet different needs.

Source code + data set download

Multiple image enhancement cases based on Matlab (source code + data set).rar: https://download.csdn.net/download/m0_62143653/88189912