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|Title: ||Single Image Restoration of Outdoor Scenes|
|Authors: ||ANCUTI, Codruta|
|Issue Date: ||2011|
|Publisher: ||SPRINGER-VERLAG BERLIN|
|Citation: ||Real, P.; Diaz Pernil, D.; Molina Abril, H.; Berciano, A.; Kropatsch, W. (Ed.). COMPUTER ANALYSIS OF IMAGES AND PATTERNS: 14TH INTERNATIONAL CONFERENCE, CAIP 2011, PT 2, p. 245-252|
|Series/Report: ||Lecture Notes in Computer Science|
|Series/Report no.: ||6855|
|Abstract: ||We present a novel strategy to restore outdoor images degraded by the atmospheric phenomena such as haze or fog. Since both the depth map of the scene and the airlight constant are unknown, this problem is mathematically ill-posed. Firstly, we present a straightforward approach that is able to estimate accurately the airlight constant by searching the regions with the highest intensity. Afterwards, based on a graphical Markov random field (MRF) model, we introduce a robust optimization framework that is able to transport the local minima over large neighborhoods while smoothing the transmission map but also preserving the important depth discontinuities of the estimated depth. The method has been tested extensively for real outdoor images degraded by haze or fog. The comparative results with the existing state-of-the-art techniques demonstrate the advantage of our approach.|
|Notes: ||Ancuti, CO (reprint author), [Ancuti, Codruta Orniana; Ancuti, Cosmin; Bekaert, Philippe] Hasselt Univ, tUL, IBBT, Expertise Ctr Digital Media, B-3590 Diepenbeek, Belgium.
firstname.lastname@example.org; email@example.com; firstname.lastname@example.org|
|ISI #: ||000300567300028|
|Type: ||Proceedings Paper|
|Validation: ||ecoom, 2013|
|Appears in Collections: ||Research publications|
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