CVAug 29, 2018

Fractional Multiscale Fusion-based De-hazing

arXiv:1808.09697v11 citations
Originality Synthesis-oriented
AI Analysis

This addresses image quality improvement for applications like photography or vision systems, but it appears incremental as it builds on existing fusion techniques.

The paper tackled single image de-hazing and underwater image enhancement by proposing a multi-scale fusion algorithm, achieving faster operation than existing methods with mostly consistent and good results.

This report presents the results of a proposed multi-scale fusion-based single image de-hazing algorithm, which can also be used for underwater image enhancement. Furthermore, the algorithm was designed for very fast operation and minimal run-time. The proposed scheme is the faster than existing algorithms for both de-hazing and underwater image enhancement and amenable to digital hardware implementation. Results indicate mostly consistent and good results for both categories of images when compared with other algorithms from the literature.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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