6533b81ffe1ef96bd1277c75
RESEARCH PRODUCT
Restoration of out-of-focus images based on circle of confusion estimate
Sebastiano BattiatoRoberto PirroneM. La CasciaSalvatore CurtiP. Viviritosubject
Bayer filterColor imagebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingEdge detectionGeographyCircle of confusionComputer visionColor filter arrayArtificial intelligencebusinessFocus (optics)Image restorationdescription
In this paper a new method for a fast out-of-focus blur estimation and restoration is proposed. It is suitable for CFA (Color Filter Array) images acquired by typical CCD/CMOS sensor. The method is based on the analysis of a single image and consists of two steps: 1) out-of-focus blur estimation via Bayer pattern analysis; 2) image restoration. Blur estimation is based on a block-wise edge detection technique. This edge detection is carried out on the green pixels of the CFA sensor image also called Bayer pattern. Once the blur level has been estimated the image is restored through the application of a new inverse filtering technique. This algorithm gives sharp images reducing ringing and crisping artifact, involving wider region of frequency. Experimental results show the effectiveness of the method, both in subjective and numerical way, by comparison with other techniques found in literature.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2002-11-01 | SPIE Proceedings |