Image Processing and Restoration Through a Base Image – A Review
By: Parmar, Ronit Kumar
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Contributor(s): Bhatt, Sunil.
Publisher: New Delhi Journals Pub 2019Edition: Vol.5(2), Jul-Dec.Description: 1-8p.Subject(s): EXTC EngineeringOnline resources: Click here
In:
International journal of digital communication and analog signalsSummary: Digital imaging systems had been widely used for many applications including customer photography, microscopy, aerial images, astronomical imaging, and many others., their output photographs/movies frequently suffer from spatially various blur caused by lens, transmission medium, publish processing algorithms, and digicam/item motion. Measuring the amount of blur globally and regionally is a critical problem. it can assist us in getting rid of the spatially various blur and enhancing the visual of the imaging machine outputs. it can also offer beneficial data about the scene, such as saliency and depth map. We first apply the Geometric Transformation algorithm for restoration of the blurred image. As suggested in the base paper that the geometric analysis will provide us the fine feature available in the image, we have utilized this algorithm for the purpose of image restoration.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2020-2021190 |
Digital imaging systems had been widely used for many applications including customer photography, microscopy, aerial images, astronomical imaging, and many others., their output photographs/movies frequently suffer from spatially various blur caused by lens, transmission medium, publish processing algorithms, and digicam/item motion. Measuring the amount of blur globally and regionally is a critical problem. it can assist us in getting rid of the spatially various blur and enhancing the visual of the imaging machine outputs. it can also offer beneficial data about the scene, such as saliency and depth map. We first apply the Geometric Transformation algorithm for restoration of the blurred image. As suggested in the base paper that the geometric analysis will provide us the fine feature available in the image, we have utilized this algorithm for the purpose of image restoration.
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