Analysis of Probabilistic multi-scale fractional order fusion-based de-hazing algorithm
This is an incremental improvement for image processing applications, enhancing de-hazing techniques.
The paper tackles image de-hazing by proposing a probabilistic multi-scale fractional order fusion algorithm that improves local contrast, edge sharpening, and brightness while avoiding sky over-enhancement, showing better performance than existing methods in most cases.
In this report, a de-hazing algorithm based on probability and multi-scale fractional order-based fusion is proposed. The proposed scheme improves on a previously implemented multiscale fraction order-based fusion by augmenting its local contrast and edge sharpening features. It also brightens de-hazed images, while avoiding sky region over-enhancement. The results of the proposed algorithm are analyzed and compared with existing methods from the literature and indicate better performance in most cases.