MULTISCALE HAAR TRANSFORM FOR BLUR ESTIMATION FROM A SET OF IMAGES
This paper proposes a method to estimate the local sharpness of an optical system through the wavelet-based analysis of a large set of images it acquired. Assuming a space-invariant distribution of image features, such as in the aerial photography context, the proposed approach produces a sharpness...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2013-04-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-3-W22/65/2011/isprsarchives-XXXVIII-3-W22-65-2011.pdf |
| Summary: | This paper proposes a method to estimate the local sharpness of an optical system through the wavelet-based analysis of a large set of
images it acquired. Assuming a space-invariant distribution of image features, such as in the aerial photography context, the proposed
approach produces a sharpness map of the imaging device over 16 × 16 pixels blocks that enables, for instance, the detection of optical
defects and the qualification of the mosaicking of multiple sensor images into a larger composite image. The proposed analysis is
based on accumulating of the edge maps corresponding to the first levels of the Haar Transform of each image of the dataset, following
the intuition that statistically, each pixel will see the same image structures. We propose a calibration method to transform these
accumulated edge maps into a sharpness map by approximating the local PSF (Point Spread Function) with a Gaussian blur. |
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| ISSN: | 1682-1750 2194-9034 |