Image enhancement tasks in capsule endoscopy

Improving quality of images from endoscopic capsules is discussed in the paper. The quality of the images acquired during endoscopic examination may be severely affected by different factors. We consider the most typical cases of geometrical lens distortion, limited resolution of the sensor and blur caused by the defocus and motion. We present remedies for the above obstacles. They are respectively, identification and correction of the geometrical lens distortion, super-resolution of images, and blur identification and removing. We also describe the designed algorithms, particularly for the case of the capsule endoscopy, and show preliminary results obtained with artificial test data.