Additive spread-spectrum watermark detection in demosaicked images
Proceedings of the 11th ACM workshop on Multimedia and security
Regularization approaches to demosaicking
IEEE Transactions on Image Processing
Self-similarity driven color demosaicking
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Selective data pruning-based compression using high-order edge-directed interpolation
IEEE Transactions on Image Processing
An effective edge-adaptive color demosaicking algorithm for single sensor digital camera images
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Joint demosaicking and denoising with space-varying filters
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Demosaicing using variable-size classifiers and proportional weights
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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
Color image demosaicking: An overview
Image Communication
Novel color demosaicking for noisy color filter array data
Signal Processing
Toward designing intelligent PDEs for computer vision: An optimal control approach
Image and Vision Computing
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Most digital cameras use a color filter array to capture the colors of the scene. Downsampled versions of the red, green, and blue components are acquired, and an interpolation of the three colors is necessary to reconstruct a full representation of the image. This color interpolation is known as demosaicing. The most effective demosaicing techniques proposed in the literature are based on directional filtering and a posteriori decision. In this paper, we present a novel approach to this reconstruction method. A refining step is included to further improve the resulting reconstructed image. The proposed approach requires a limited computational cost and gives good performance even when compared to more demanding techniques