Title :
A new digital camera zooming solution
Author :
Lukac, Rastislav ; Plataniotis, Konstantinos N.
Author_Institution :
Bell Canada Multimedia Lab., Univ. of Toronto, Ont., Canada
Abstract :
A new zooming algorithm suitable for single-sensor imaging devices is introduced. The proposed method is capable of zooming and enlarging data acquired by single sensor cameras operating on the Bayer color filter array (CFA) pattern. The approach allows for operations on noise-free data at the hardware level. Complexity and cost implementation are thus greatly reduced. Based on a color difference model and an adaptive edge-sensing mechanism, the proposed method produces sharp, visually pleasing outputs. At the same time, it yields excellent performance, in terms of both subjective and objective image quality measure.
Keywords :
cameras; computer vision; edge detection; image colour analysis; image sensors; optical filters; Bayer color filter array; CFA pattern; adaptive edge-sensing mechanism; color difference model; complexity reduction; cost reduction; digital camera zooming; image quality; noise-free data; performance; single-sensor imaging devices; Color; Costs; Digital cameras; Image quality; Image restoration; Interpolation; Laboratories; Lattices; Sensor arrays; Spatial resolution;
Conference_Titel :
Electrical and Computer Engineering, 2004. Canadian Conference on
Print_ISBN :
0-7803-8253-6
DOI :
10.1109/CCECE.2004.1345246