THE EFFECT OF UNDERWATER IMAGERY RADIOMETRY ON 3DRECONSTRUCTION AND ORTHOIMAGERY

Abstract. The work presented in this paper investigates the effect of the radiometry of the underwater imagery on automating the 3D reconstruction and the produced orthoimagery. Main aim is to investigate whether pre-processing of the underwater imagery improves the 3D reconstruction using automated SfM - MVS software or not. Since the processing of images either separately or in batch is a time-consuming procedure, it is critical to determine the necessity of implementing colour correction and enhancement before the SfM - MVS procedure or directly to the final orthoimage when the orthoimagery is the deliverable. Two different test sites were used to capture imagery ensuring different environmental conditions, depth and complexity. Three different image correction methods are applied: A very simple automated method using Adobe Photoshop, a developed colour correction algorithm using the CLAHE (Zuiderveld, 1994) method and an implementation of the algorithm described in Bianco et al., (2015). The produced point clouds using the initial and the corrected imagery are then being compared and evaluated.

[1]  R. A. Salam,et al.  Underwater Image Enhancement Using an Integrated Colour Model , 2007 .

[2]  Yoav Y. Schechner,et al.  Active Polarization Descattering , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Karel J. Zuiderveld,et al.  Contrast Limited Adaptive Histogram Equalization , 1994, Graphics Gems.

[4]  Uwe von Lukas Underwater Visual Computing: The Grand Challenge Just around the Corner , 2016, IEEE Computer Graphics and Applications.

[5]  Puran Gour,et al.  Analysis of Contrast Enhancement Techniques For Underwater Image , .

[6]  Pierre Drap,et al.  Underwater Photogrammetry for Archaeology , 2012 .

[7]  L. Neumann,et al.  a New Color Correction Method for Underwater Imaging , 2015 .

[8]  Stella Demesticha,et al.  The 4th‐Century‐BC Mazotos Shipwreck, Cyprus: a preliminary report , 2011 .

[9]  M. S. Hitam,et al.  Mixture contrast limited adaptive histogram equalization for underwater image enhancement , 2013, 2013 International Conference on Computer Applications Technology (ICCAT).

[10]  Weilin Hou,et al.  Imagery-derived modulation transfer function and its applications for underwater imaging , 2007, SPIE Optical Engineering + Applications.

[11]  Puran Gour,et al.  Underwater Image Segmentation using CLAHE Enhancement and Thresholding , 2012 .

[12]  Oscar Pizarro,et al.  High‐Resolution Underwater Robotic Vision‐Based Mapping and Three‐Dimensional Reconstruction for Archaeology , 2017, J. Field Robotics.

[13]  Matthew Johnson-Roberson,et al.  Mapping Submerged Archaeological Sites using Stereo‐Vision Photogrammetry , 2013 .