What Is Digital Image Processing?

Digital image processing is the use of computer algorithms to create, process, communicate, and display digital images. Digital image processing algorithms can be used to:

• Convert signals from an image sensor into digital images
• Improve clarity, and remove noise and other artifacts
• Extract the size, scale, or number of objects in a scene
• Prepare images for display or printing
• Compress images for communication across a network

The following images illustrate a few of these examples:

Effective techniques for processing digital images include using algorithms and tools that provide a comprehensive environment for data analysis, visualization, and algorithm development.

For more information, see Image Processing Toolbox™.

See also: Steve on Image Processing, Digital Image Processing Using MATLAB (book), image enhancement, image segmentation, image transform, image analysis, geometric transformation and image registration, image processing and computer vision, feature extraction, stereo vision, optical flow, color profile, image analysis, image thresholding, edge detection, image registration, ransac, pattern recognition, affine transformation, lab color, point cloud, 3D Image Processing, Convolution