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Raw Data Compression And Color Image Reconstruction Algorithm Based On Image Sensor

Posted on:2007-09-15Degree:MasterType:Thesis
Country:ChinaCandidate:Y F ZhouFull Text:PDF
GTID:2178360185976409Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
This research discusses the raw data compression and color image reconstruction algorithms based on image sensor and proposes some post-processing algorithms after image reconstruction. These algorithms are the core technology in digital imaging equipments. To reduce the cost and size of imaging equipments based on single CCD, the full color images data are obtained by CFA interpolation for raw data. The familiar algorithms have: Nearest Neighbor Replication, Bilinear Interpolation, and Edge Sensing Interpolation etc. This study develops based on the existing interpolation algorithm, primary study have:(1) This research designes the complementary color CCD interpolation algorithm based on bilinear interpolation method that is suitable for CFA raw data obtained complementary color CCD sensor;(2) This research proposes the adaptive CFA interpolation algorithm based on image text, which satisfies higher real time, require through balancing computational complexity and interpolation effect;(3) For the better interpolation effect and higher object quality evaluation, the study improves the traditional fuzzy match interpolation algorithm, which can reduce computational complexity and improve image quality;(4) This research introduces edge detect and median filter in green channel because the weighted average interpolation algorithm based on Sobel...
Keywords/Search Tags:CFA Interpolation, Bayer Raw Data, Structure Transform, VQ, Edge Enhancement
PDF Full Text Request
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