High Quality Area Scan and Line Scan Demosaicking Algorithms Based on Spectral Correlation
Date Issued
2011
Date
2011
Author(s)
Lin, Jia-Yi
Abstract
With the advent of the full-HD Generation, human demand for high quality image is growing. Today more and more consumer electronic devices sample and record the nature sense with color pixel values by single sensor covered with color filter array arranged by Bayer pattern. The estimation of lost pixel values during the sensor sampling process is known as Color Filter Array Interpolation (CFA-interpolations) Algorithms or Demosaicking Algorithms.
In this paper, in order to reduce cost and size of digital imaging devices, and obtain high quality image, high quality area scan and line scan demosaicking algorithms based on spectral correlation are proposed. For area scan imaging sensors, we utilize better initial interpolations to reduce image errors in low-frequency regions and obtain sharper images by projecting the high-frequency coefficients of each color channels iteratively. For line scan imaging sensors, we propose using the Gaussian Function (Gaussian Blur Function) to decompose the mosaic image into a smooth layer (base layer) and the fine layer (detail layer) for the effective hardware implementation. In base layer, traditional color interpolations are adopted as image interpolation algorithms; in detail layer, perform the coefficient replacements according to the property that for nature images there is a high correlation between color channels. Therefore, reconstruction images, obtained from the proposed method, have higher PSNR and SSIM, and better visual quality than traditional algorithms.
Subjects
Color Filter Array
Color Filter Array Interpolation (CFA-interpolations)
Demosaicking Algorithms
Gaussian Function (Gaussian Blur Function)
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-100-R98942046-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):01c461546da18233947ddf43e0441b92