New A Novel Quality-Effective Zooming Algorithm for CFA Image
Date Issued
2011
Date
2011
Author(s)
Yu, Jun-Hong
Abstract
Mosaic images are captured by a single charge-coupled device/complementary metal-oxide-semiconductor (CCD/CMOS) sensor with the Bayer color filter array. In this paper, a new quality-effective zooming algorithm for mosaic images is presented. First, based on adaptive heterogeneity projection masks and the Sobel- and lumi-nance estimation-based (SL-Based) masks, more accurate gradient information can be extracted from the mosaic image directly. According to the extracted more accurate gradient information, the mosaic green (G) channel is first zoomed. In order to reduce color artifacts, instead of directly moving the original red (R) value to its right position and the blue (B) value to its lower position in the previous approach, the color difference interpolation is utilized to expand the G-R and G-B color difference values. Finally, the zoomed mosaic R and B channels can be constructed by using the zoomed G channel and the two expanded color difference values; afterward, the zoomed mosaic image is obtained. Based on twenty-four popular test mosaic images, experimental results are demonstrated to show that the proposed zooming algorithm has more than 1.79 dB quality improvement when compared with two previous zooming algorithms, one by Battiato et al. and the other by Lukac et al.
Subjects
Color difference
Color filter array
Gradient information
Mosaic im- ages
PSNR
Sobel operator
Zooming algorithm
File(s)![Thumbnail Image]()
Loading...
Name
ntu-100-R96944026-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):4650f0a6b82e6f807c492653eed36a5b