A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation
Citations Over TimeTop 1% of 2016 papers
Abstract
We propose a weighted variational model to estimate both the reflectance and the illumination from an observed image. We show that, though it is widely adopted for ease of modeling, the log-transformed image for this task is not ideal. Based on the previous investigation of the logarithmic transformation, a new weighted variational model is proposed for better prior representation, which is imposed in the regularization terms. Different from conventional variational models, the proposed model can preserve the estimated reflectance with more details. Moreover, the proposed model can suppress noise to some extent. An alternating minimization scheme is adopted to solve the proposed model. Experimental results demonstrate the effectiveness of the proposed model with its algorithm. Compared with other variational methods, the proposed method yields comparable or better results on both subjective and objective assessments.
Related Papers
- → Dimensional analysis and logarithmic functions(2024)1 cited
- → Logarithm Difference Based Illumination Invariant Feature for Severe Illumination Variation Face Recognition(2019)1 cited
- → A numerical algorithm for taking the logarithm of a complex function with a minimum width of the logarithm spectrum(2000)
- A study on feasibility of verifying handwriting with reflectivity(2010)
- → Basic Logarithm for a Better Understanding of Statistical Methods(2012)