Medical image super-resolution preprocessing method based on bayer array raw data
By preprocessing the raw data of the Bayer array, the features of medical images are extracted and adaptive interpolation reconstruction is performed. This solves the problems of detail stability and error accumulation when improving the resolution of endoscopic equipment, and achieves high-quality image output. It is suitable for real-time imaging of various types of endoscopic equipment and clinical system integration.
CN122415408APending Publication Date: 2026-07-17JIANGSU JIYUAN MEDICAL TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- JIANGSU JIYUAN MEDICAL TECH CO LTD
- Filing Date
- 2026-04-15
- Publication Date
- 2026-07-17
Smart Images
Figure CN122415408A_ABST
Abstract
The application discloses a medical image super-resolution preprocessing method based on Bayer array original data, which comprises the following steps: step 1, Bayer original data acquisition; step 2, medical feature extraction; step 3, double-weight modeling; step 4, double-channel interpolation; step 5, medical detail optimization; and step 6, clinical color calibration. The application directly utilizes Bayer array original photosensitive data, generates four complete RGB pixels with 2*2 grids as units, realizes image resolution multiplication, and is 2 times of the physical pixels of a sensor; meanwhile, through medical feature weighting and residual optimization, the problems of poor detail stability and error accumulation in the traditional interpolation magnification method are solved, and the key information for clinical diagnosis, such as tissue edges, tiny lesions and blood vessel textures, can be stably reserved.
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