Blur detection technique for thumbnail image generation
| dc.contributor.author | Koik Boon Tatt | |
| dc.date.accessioned | 2021-03-16T08:25:35Z | |
| dc.date.available | 2021-03-16T08:25:35Z | |
| dc.date.issued | 2015-10-01 | |
| dc.description.abstract | Thumbnail images are widely used in electronic devices to help the user to scan through original high resolution images. Hence, it is essential to represent the thumbnail image correspondingly to the original image. A blur image should not appear to be a clear image in thumbnail form, where this situation might mislead the perceptual analysis of the user. The main purpose of this research work is to develop a down-sampling algorithm to create a thumbnail image which includes blur information. The proposed method has three stages, which are preliminary processes, blur detection and lastly image down-sampling. For preliminary processes, Sobel first order derivatives, gradient magnitude and gradient orientation are determined. In blur detection stage, local maximum, local minimum and gradient orientation are utilized to calculate the edge width. The thumbnail image with blur information is generated using the average edge width as a weight to integrate blur information. The proposed method has been benchmarked by using five other thumbnail generation methods. The evaluations are done through a survey of 51 volunteers, and also based on visual inspection. The results suggest that the proposed method has high potential to be applied as one of the thumbnail generation options for photo viewing. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/12196 | |
| dc.language.iso | en | en_US |
| dc.title | Blur detection technique for thumbnail image generation | en_US |
| dc.type | Thesis | en_US |
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