Digital Image Processing: Distortion Correction using MATLAB

Abstract

MATLABSolutions demonstrate In this particular task, step-by-step guide In this Distortion correction in digital image processing is essential for improving the quality and accuracy of images. There are two main types of distortions that need correction:

Geometric Distortion: This occurs due to the perspective and lens distortions, causing the image to be warped or misaligned. Common causes include camera tilt, lens imperfections, and perspective changes2.

Radiometric Distortion: This happens due to variations in sensor sensitivity, atmospheric conditions, and lighting. It affects the brightness and color consistency of the image2.

Steps for Distortion Correction

Geometric Correction:

Image Rectification: Align the distorted image with a reference image or map. This involves transforming the coordinates of the distorted image to match a standard coordinate system3.
Lens Distortion Correction: Apply mathematical models to correct lens-induced distortions, such as barrel or pincushion distortion.

Radiometric Correction:

Calibration:Use calibration data to correct sensor-specific errors.
Atmospheric Correction:Adjust for atmospheric effects like haze, scattering, and absorption.

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