Blind Detection and Compensation of Camera Lens Geometric Distortions

TL;DR

This paper introduces a blind method to detect and correct camera lens distortions using higher-order spectral analysis, accommodating two distortion coefficients with analytical inverse solutions.

Contribution

It extends previous single-coefficient models to a two-coefficient approach with closed-form inverse formulas for blind distortion correction.

Findings

Effective detection of distortions via spectral analysis.

Analytical inverse formulas enable direct correction.

Handles more complex distortion models than prior methods.

Abstract

This paper presents a blind detection and compensation technique for camera lens geometric distortions. The lens distortion introduces higher-order correlations in the frequency domain and in turn it can be detected using higher-order spectral analysis tools without assuming any specific calibration target. The existing blind lens distortion removal method only considered a single-coefficient radial distortion model. In this paper, two coefficients are considered to model approximately the geometric distortion. All the models considered have analytical closed-form inverse formulae.