Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Bias in Robust Estimation Caused by Discontinuities and Multiple Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic measurement of quality metrics for colonoscopy videos
Proceedings of the 13th annual ACM international conference on Multimedia
Calibration and removal of lateral chromatic aberration in images
Pattern Recognition Letters
A frequency domain approach to registration of aliased images with application to super-resolution
EURASIP Journal on Applied Signal Processing
Automatic Labeling of Colonoscopy Video for Cancer Detection
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Computer-aided tumor detection in endoscopic video using color wavelet features
IEEE Transactions on Information Technology in Biomedicine
Detecting and eliminating chromatic aberration in digital images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Automatic segmentation and inpainting of specular highlights for endoscopic imaging
Journal on Image and Video Processing - Special issue on emerging methods for color image and video quality enhancement
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Colonoscopy is currently one of the best methods to detect colorectal cancer. Nowadays, one of the widely used colonoscopes has a monochrome chipset recording successively at 60 Hz R, G, and B components merged into one color video stream. Misalignments of the channels occur each time the camera moves, and this artefact impedes both online visual inspection by doctors and offline computer analysis of the image data. We propose to restore this artefact by first equalizing the color channels and then performing a robust camera motion estimation and compensation.