IEEE Trans Image Process - Underwater image enhancement by wavelength compensation and dehazing.

Tópicos

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Resumo

Light scattering and color change are two major sources of distortion for underwater photography. Light scattering is caused by light incident on objects reflected and deflected multiple times by particles present in the water before reaching the camera. This in turn lowers the visibility and contrast of the image captured. Color change corresponds to the varying degrees of attenuation encountered by light traveling in the water with different wavelengths, rendering ambient underwater environments dominated by a bluish tone. No existing underwater processing techniques can handle light scattering and color change distortions suffered by underwater images, and the possible presence of artificial lighting simultaneously. This paper proposes a novel systematic approach to enhance underwater images by a dehazing algorithm, to compensate the attenuation discrepancy along the propagation path, and to take the influence of the possible presence of an artifical light source into consideration. Once the depth map, i.e., distances between the objects and the camera, is estimated, the foreground and background within a scene are segmented. The light intensities of foreground and background are compared to determine whether an artificial light source is employed during the image capturing process. After compensating the effect of artifical light, the haze phenomenon and discrepancy in wavelength attenuation along the underwater propagation path to camera are corrected. Next, the water depth in the image scene is estimated according to the residual energy ratios of different color channels existing in the background light. Based on the amount of attenuation corresponding to each light wavelength, color change compensation is conducted to restore color balance. The performance of the proposed algorithm for wavelength compensation and image dehazing (WCID) is evaluated both objectively and subjectively by utilizing ground-truth color patches and video downloaded from the Youtube website. Both results demonstrate that images with significantly enhanced visibility and superior color fidelity are obtained by the WCID proposed.

Resumo Limpo

light scatter color chang two major sourc distort underwat photographi light scatter caus light incid object reflect deflect multipl time particl present water reach camera turn lower visibl contrast imag captur color chang correspond vari degre attenu encount light travel water differ wavelength render ambient underwat environ domin bluish tone exist underwat process techniqu can handl light scatter color chang distort suffer underwat imag possibl presenc artifici light simultan paper propos novel systemat approach enhanc underwat imag dehaz algorithm compens attenu discrep along propag path take influenc possibl presenc artif light sourc consider depth map ie distanc object camera estim foreground background within scene segment light intens foreground background compar determin whether artifici light sourc employ imag captur process compens effect artif light haze phenomenon discrep wavelength attenu along underwat propag path camera correct next water depth imag scene estim accord residu energi ratio differ color channel exist background light base amount attenu correspond light wavelength color chang compens conduct restor color balanc perform propos algorithm wavelength compens imag dehaz wcid evalu object subject util groundtruth color patch video download youtub websit result demonstr imag signific enhanc visibl superior color fidel obtain wcid propos

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