Version 1
: Received: 10 July 2022 / Approved: 11 July 2022 / Online: 11 July 2022 (09:00:18 CEST)
How to cite:
Dachang, Z. Underwater Image Enhancement in Epicontinental Sea Based on the Improved Algorithm of Dark Channel. Preprints2022, 2022070155. https://doi.org/10.20944/preprints202207.0155.v1
Dachang, Z. Underwater Image Enhancement in Epicontinental Sea Based on the Improved Algorithm of Dark Channel. Preprints 2022, 2022070155. https://doi.org/10.20944/preprints202207.0155.v1
Dachang, Z. Underwater Image Enhancement in Epicontinental Sea Based on the Improved Algorithm of Dark Channel. Preprints2022, 2022070155. https://doi.org/10.20944/preprints202207.0155.v1
APA Style
Dachang, Z. (2022). Underwater Image Enhancement in Epicontinental Sea Based on the Improved Algorithm of Dark Channel. Preprints. https://doi.org/10.20944/preprints202207.0155.v1
Chicago/Turabian Style
Dachang, Z. 2022 "Underwater Image Enhancement in Epicontinental Sea Based on the Improved Algorithm of Dark Channel" Preprints. https://doi.org/10.20944/preprints202207.0155.v1
Abstract
Enhancing underwater images in epicontinental sea is a challenging problem owing to the influence of ocean currents, the refraction, absorption and scattering of light by suspended particles, and the weak illumination intensity. Recently, different methods have relied on the underwater image formation model and deep learning techniques to restore the underwater image, but they tend to degrade underwater image, interference of background clutter and miss boundary details of blue regions. Improved image fusion and enhancement algorithm based on a priori dark channel is proposed in this paper. Image edge features sharpening and dark detail enhancement by homomorphism filtering in CIELab color space is realized. In RGB color space, the multi-scale retinal with color restoration (MSRCR) algorithm is used to improve color deviation and enhance color saturation, and the contrast-limited adaptive histogram equalization (CLAHE) algorithm is used to de fog and enhance image contrast. Finally, according to the dark channel images of the three processing results, the final enhanced image is obtained by linear fusion of multiple images and multiple channels. Experimental results demonstrate the effectiveness and practicality of the proposed method on various datasets.
Keywords
underwater image enhancement; dark channel; improved algorithm; RGB color space
Subject
Engineering, Marine Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
