A Novel Method of Chromatic Aberration Detection and Correction Using Wavelet Analysis
Anna Fryśkowska, Michał Kędzierski, Michalina Wojtkowska, Aleksandra Grochala · 2017
Wave-length dependant imaging errors of the optical components and different characteristics in colour channels yield various geometric errors of the RGB image. Chromatic aberration has a very large direct impact on the quality of a digital image correlation and indirect on the geometry of the image. This is particularly important when recording black and white images on the RGB array. It is also particularly important for images taken with low-cost cameras mounted on UAVs. In the paper a novel method of detection of chromatic aberration with the use of wavelet analysis has been proposed. For the purpose of these studies two types of tests were designed and developed. A non-metric low-cost digital camera had been used. The proposed method of detection and correction of chromatic aberration can be applied in photogrammetric and remote sensing products generated on the basis of images from cameras mounted on UAVs