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Blur Detection of Digital Images in Real-time
| Content Provider | Semantic Scholar |
|---|---|
| Author | Koujalagi, Deepti Hammini, Nayana S. Kotagi, Pooja Ramesh Shanbhag, Supriya S. |
| Copyright Year | 2015 |
| Abstract | Image processing is a science that uncovers information about images. Enhancement of an image is necessary to improve appearance or to highlight the specific information contained in the image. With the prevalence of digital cameras, the number of digital images increases quickly, which raises the demand for image quality assessment in terms of blur. Applications like Satellite communication and Medical imaging involves real time capturing of high definition images. If the image in such applications is corrupted or the information conveyed is not clear, it is necessary to recapture appropriate image. A model is required that recaptures image automatically if distortion is involved in the captured image. Based on the edge type and sharpness analysis using Haar wavelet transform, a new blur detection scheme is been proposed in this paper. This scheme could determine the presence of blur in an image and also estimate the extent of blur in the image. Analysis is carried out for both, database images as well as real time images and the results obtained demonstrate the effectiveness in estimating blur extent of an image using the proposed scheme. Key wordsblur extent, region-based segmentation, super resolution, wavelet transforms |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://troindia.in/journal/ijcesr/vol2iss9/53-60.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
