Optimizing image contrast
X-ray medical imaging. 2D image processing
Article REF: MED203 V1
Optimizing image contrast
X-ray medical imaging. 2D image processing

Author : Thierry LEMOINE

Publication date: June 10, 2015 | Lire en français

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4. Optimizing image contrast

All the processes described above (fault correction, calibration) are closely linked to the detector and its physical characteristics. For this reason, they are often referred to as "preprocessing". A corrected and calibrated image is called a "clean" image, unlike the "raw" image supplied by the detector. But a "clean" image is not a "clinical" image that can be used by a radiologist. The latter requires additional processing designed to accentuate interesting details and attenuate others. Referred to as post-processing, these corrections are of three types: optimization of relative pixel intensity (i.e. contrast), optimization of sharpness (edge enhancement) and noise filtering. For further details, please refer to

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