Demosaicing of Color Filter Array Captured Images Using Gradient Edge Detection Masks and Adaptive Heterogeneity-Projection

Authors:
Kuo-Liang Chung;Wei-Jen Yang;Wen-Ming Yan;Chung-Chou Wang
Affiliations:
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei;-;-;-
Venue:
IEEE Transactions on Image Processing
Year:
2008

Citing 0
Cited 10

Demosaicing using variable-size classifiers and proportional weights

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Determining hysteresis thresholds for edge detection by combining the advantages and disadvantages of thresholding methods

IEEE Transactions on Image Processing
Effective color-difference-based interpolation algorithm for CFA image demosaicking

MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Edge adaptive color demosaicking based on the spatial correlation of the bayer color difference

Journal on Image and Video Processing - Special issue on emerging methods for color image and video quality enhancement
Efficient reversible data hiding for color filter array images

Information Sciences: an International Journal
Classification-based de-mosaicing for digital cameras

Neurocomputing
Quality-efficient demosaicing for digital time delay and integration images using edge-sensing scheme in color difference domain

Journal of Visual Communication and Image Representation
Efficient reversible data hiding algorithm based on gradient-based edge direction prediction

Journal of Systems and Software
Discrete wavelet transform on color picture interpolation of digital still camera

VLSI Design - Special issue on Advanced VLSI Design Methodologies for Emerging Industrial Multimedia and Communication Applications
Universal intra coding for arbitrary RGB color filter arrays in HEVC

Journal of Visual Communication and Image Representation

Quantified Score

Hi-index	0.01

Visualization

Abstract

Without demosaicing processing, this paper first proposes a new approach to extract more accurate gradient/edge information on mosaic images directly. Next, based on spectral-spatial correlation, a novel adaptive heterogeneity-projection with proper mask size for each pixel is presented. Combining the extracted gradient/edge information and the adaptive heterogeneity-projection values, a new edge-sensing demosaicing algorithm is presented. Based on 24 popular testing images, experimental results demonstrated that our proposed high-quality demosaicing algorithm has the best image quality performance when compared with several recently published algorithms.