Saturation-Value Total Variation model for chromatic aberration correction

Abstract

Chromatic aberration generally occurs in the regions of sharp edges in captured digital color images. The main aim of this paper is to propose and develop a novel Saturation-Value Total Variation (SVTV) model for chromatic aberration correction. In the proposed optimization model, there are three terms for the correction purpose. The SVTV regularization term is to model the target color image in HSV color space instead of RGB color space, and to avoid oscillations in the recovering process. In correction process, the gradient matching terms based on the green component are used to govern both red and blue components, and the intensity terms are employed to fit red, green and blue data components. The existence of the minimizer of the optimization model is analyzed and an efficient optimization algorithm is also developed for solving the resulting variational problem. Experimental results are presented to illustrate the effectiveness of the proposed model and to show that the correction results are better than those by using the other testing methods.

Achromatic and Resolution Enhancement Light Field Deep Neural Network for ZnO Nematic Liquid Crystal Microlens Array

“…To provide a comprehensive comparison of the proposed methods in terms of achromaticity and resolution enhancement, we sought out three state‐of‐the‐art (SOTA) methods for side‐by‐side evaluation. These methods include video overdistribution (EDVR), [ 11 ] saturation‐value total variation model, [ 28 ] and explicit temporal difference modeling. [ 29 ] We selected these algorithms because there is no existing network that can simultaneously solve both super‐resolution and achromatic aberration problems, and they are all single‐function networks.…”

Blind Correction of Lateral Chromatic Aberration in Raw Bayer Data

“…Wang et al [30] propose a chromatic aberration correction approach based on a saturation-value total variation (SVTV) model. The correction is done in the HSV (hue, saturation, value) color space instead of the RGB color space.…”