Analysis of Various Dehazing Algorithms for Underwater Images

The presence of sediments, lighting inconsistencies, colour variations and dissolved particles give hazy effect to the underwater images. To overcome this, enhancement techniques are required. In this paper, the model based dehazing algorithms are analysed. The effectiveness and limitations of various algorithms are analysed both in terms of subjective and objective measures. The Underwater Hazeline Prior (UHP) algorithm is contrast adjusted to form the Modified Colour Restoration (ColRM). The ColRM achieves a metric improvement of 2.5% in Underwater Colour Image Quality Enhancement (UCIQE) than the UHP algorithm. Further contrast improvement strategies for underwater images are also discussed.

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