Underwater video enhancement using enhanced white balance adaptive algorithm and multithreading technique
| dc.contributor.author | al-Ruwaili, Madallah Mukammi Munahi | |
| dc.date.accessioned | 2016-11-02T06:32:42Z | |
| dc.date.available | 2016-11-02T06:32:42Z | |
| dc.date.issued | 2009-06 | |
| dc.description.abstract | In underwater situations, there is a number of factors which lead to low illumination, low contrast, and bluish color cast. These factors are light absorption, scattering of light, and turbidity of water. Therefore, it is difficult to enhance underwater images compared to land image. This study enhances the White Balance Adaptive (WBA) algorithm to address the problem of underwater situations. The WBA was parallelized for underwater images and videos. The enhanced sequential WBA is based on two algorithms: Contrast Correction and White Balance. The enhancement of Contrast Correction approach fully stretches underwater images and the original pattern remains similar to the original histogram. The Enhanced WBA algorithm removes the color cast based on statistical calculations. Enhancement approach of correcting the affected image was done by applying three gain factors, namely the red, green and blue gain factors. The proposed parallel algorithm is based on data decomposition technique in which the image data is divided into sub sections that can be processed simultaneously. Both of the proposed sequential and parallel algorithms have been evaluated using the five well known methods namely: Histogram, Edge Detection, Execution Time, Speed Up, and Efficiency. In addition, the video processing was evaluated by comparison between the parallel algorithm, the sequential algorithm, and the existing approach. Furthermore, Enhanced WBA algorithms have performed well and the results are acceptable as compared to the existing work. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/2960 | |
| dc.subject | The White Balance Adaptive (WBA) algorithm | en_US |
| dc.subject | to address the problem of underwater situations | en_US |
| dc.title | Underwater video enhancement using enhanced white balance adaptive algorithm and multithreading technique | en_US |
| dc.type | Thesis | en_US |
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