By Ricard Prados, Rafael Garcia, László Neumann (auth.)
This paintings proposes ideas and recommendations to take on the matter of creating photo-mosaics of very huge underwater optical surveys, providing contributions to the picture preprocessing, bettering and mixing steps, and leading to a much better visible caliber of the ultimate photo-mosaic. The textual content opens with a entire assessment of mosaicing and mixing strategies, earlier than featuring an strategy for big scale underwater picture mosaicing and mixing. within the snapshot preprocessing step, a intensity based illumination repayment functionality is used to unravel the non-uniform illumination visual appeal as a result of gentle attenuation. For photo enhancement, the picture distinction variability because of diversified acquisition altitudes is compensated utilizing an adaptive distinction enhancement according to a picture caliber reference chosen via a complete edition criterion. within the mixing step, a graph-cut procedure working within the picture gradient area over the overlapping areas is advised. subsequent, an out-of-core mixing process for extraordinarily huge scale photo-mosaics is gifted and confirmed on actual information. eventually, the functionality of the method is evaluated and in comparison with different approaches.
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This paintings proposes innovations and recommendations to take on the matter of establishing photo-mosaics of very huge underwater optical surveys, proposing contributions to the picture preprocessing, bettering and mixing steps, and leading to a far better visible caliber of the ultimate photo-mosaic. The textual content opens with a accomplished overview of mosaicing and mixing strategies, earlier than featuring an procedure for giant scale underwater photo mosaicing and mixing.
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Extra resources for Image Blending Techniques and their Application in Underwater Mosaicing
The resulting linear system is much smaller than either the original Poisson system or the quadtree spline approximation of a single offset map. Since each of the offset fields is represented using a low-dimensional spline, the resultant representation is called multi-spline. Still in the context of gradient domain blending, Su et al.  proposed a method based on the minimization of a blending energy function, considering not only gradient values but also luminance. Within this blending energy function, indented to combine low-level image properties, two variation terms are measured and minimized: image value variation and first derivative variation.
The image without ghosting and double contouring has been obtained using the blending approach proposed in this book. Images courtesy of Dan Fornari (Woods-Hole Oceanographic Institution) 40 3 State of the Art in Image Blending Techniques In 2003, Pérez et al.  proposed a generic interpolation machinery based on solving Poisson equations for seamless editing and cloning of selection regions. Despite the main focus of that framework being image composition, it may also have applications in the underwater photo-mosaicing context when combined with an appropriate optimal seam finding strategy.
The blended photo-mosaic, where imaging artifacts have been minimized, allows us to analyze the features of interest, regardless of their size and imaging conditions. Summarizing, the use of blending techniques in underwater 2D mosaicing is a crucial step when generating high-quality large-scale photomosaics. Preprocessing the images in order to correct non-uniform illumination and enhance their detail also becomes a key step in the mosaicing procedure. Enhanced images are best suited for the feature detection and correspondence finding steps.