Real-Time Bayer-Domain Image Restoration for an Extended Depth of Field (EDoF) Camera
- Authors
- Kim, Sangjin; Jun, Sinyoung; Lee, Eunsung; Shin, Jeongho; Paik, Joonki
- Issue Date
- Nov-2009
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- real-time image restoration; extended depth of field (EDoF); finite impulse response (FIR) filter
- Citation
- IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v.55, no.4, pp 1756 - 1764
- Pages
- 9
- Journal Title
- IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
- Volume
- 55
- Number
- 4
- Start Page
- 1756
- End Page
- 1764
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/22938
- DOI
- 10.1109/TCE.2009.5373728
- ISSN
- 0098-3063
1558-4127
- Abstract
- In this paper, we present a novel real-time image restoration approach using a truncated constrained least-squares (TCLS) filter and spatially adaptive noise smoothing (SANS) algorithm based on alpha map for the extended depth of field (EDoF) system in an image signal processing (ISP) chain. The proposed TCLS filter and the alpha map-based SANS algorithm can be implemented in the Bayer-domain by using a general finite impulse response (FIR) structure. The TCLS filter coefficients are priori determined according to the given point-spread-function (PSF) by optical lens simulation, and deconvolution is performed in the Bayer-domain instead of the RGB-domain. The SANS algorithm can successfully remove noise in flat regions without affecting the sharply restored details. Based on the extended set of experimental results the proposed algorithm is proved to be able to restore an accurately focused image in real-time, and is suitable for commercial low-cost, high-quality imaging devices such as a digital camera and a camcorder(1).
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Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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