Demosaicking based on optimization and projection in different frequency bands
Journal on Image and Video Processing - Color in Image and Video Processing
Additive spread-spectrum watermark detection in demosaicked images
Proceedings of the 11th ACM workshop on Multimedia and security
IEEE Transactions on Image Processing
Self-similarity driven color demosaicking
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Demosaicking using inter-channel correlation in wavelet domain
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Noise insensitive demosaicing algorithm
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Color filter array demosaicking using joint bilateral filter
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Edge-adaptive complementary color filter array demosaicking
CGIM '07 Proceedings of the Ninth IASTED International Conference on Computer Graphics and Imaging
Adaptive color filter array demosaicking based on constant hue and local properties of luminance
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Demosaicing using variable-size classifiers and proportional weights
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Region adaptive color demosaicing algorithm using color constancy
EURASIP Journal on Advances in Signal Processing
Switchable primaries using shiftable layers of color filter arrays
ACM SIGGRAPH 2011 papers
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
Reducing aliasing in images: a PDE-based diffusion revisited
Pattern Recognition
A Hand-held Mosaicked Multispectral Imaging Device for Early Stage Pressure Ulcer Detection
Journal of Medical Systems
A new approach to camera image indexing
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Joint spatial-temporal color demosaicking
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
High order extrapolation using taylor series for color filter array demosaicing
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
On a generalized demosaicking procedure: a taxonomy of single-sensor imaging solutions
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Color demosaicking with an image formation model and adaptive PCA
Journal of Visual Communication and Image Representation
Universal intra coding for arbitrary RGB color filter arrays in HEVC
Journal of Visual Communication and Image Representation
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Single-sensor digital cameras capture imagery by covering the sensor surface with a color filter array (CFA) such that each sensor pixel only samples one of three primary color values. To render a full-color image, an interpolation process, commonly referred to as CFA demosaicking, is required to estimate the other two missing color values at each pixel. In this paper, we present two contributions to the CFA demosaicking: a new and improved CFA demosaicking method for producing high quality color images and new image measures for quantifying the performance of demosaicking methods. The proposed demosaicking method consists of two successive steps: an interpolation step that estimates missing color values by exploiting spatial and spectral correlations among neighboring pixels, and a post-processing step that suppresses noticeable demosaicking artifacts by adaptive median filtering. Moreover, in recognition of the limitations of current image measures, we propose two types of image measures to quantify the performance of different demosaicking methods; the first type evaluates the fidelity of demosaicked images by computing the peak signal-to-noise ratio and CIELAB ▵E*ab for edge and smooth regions separately, and the second type accounts for one major demosaicking artifact-zipper effect. We gauge the proposed demosaicking method and image measures using several existing methods as benchmarks, and demonstrate their efficacy using a variety of test images.