In this tutorial, we will explore various techniques used for image enhancement. Image enhancement is the process of improving the quality of an image for better visualization or analysis. It can be achieved through various methods such as contrast enhancement, noise reduction, sharpening, and more.
Common Image Enhancement Techniques
Here are some of the most common image enhancement techniques:
- Contrast Enhancement: Increases the difference between the darkest and brightest parts of an image, making it easier to see details.
- Noise Reduction: Reduces the noise in an image, which can be caused by various factors such as camera sensor limitations or lighting conditions.
- Sharpening: Increases the contrast between adjacent pixels, which makes the edges of objects in the image appear more defined.
- Color Correction: Adjusts the color balance of an image to make it appear more natural or to enhance specific colors.
Example: Contrast Enhancement
Let's take a look at an example of contrast enhancement. The image below shows the original image on the left and the enhanced image on the right.
Original Image
Enhanced Image
As you can see, the enhanced image has a higher contrast, making the details more visible.
Further Reading
For more information on image enhancement techniques, you can check out our Image Processing Tutorial. This tutorial covers a wide range of image processing topics, including image enhancement, filtering, and more.