Wireless capsule endoscopy images enhancement based on adaptive anisotropic diffusion

Wireless capsule endoscopy (WCE) is a new innovative solution for gastrointestinal disease detection. The image quality of WCE is not satisfactory for medical applications since some of them are dark and low-contrast. The WCE image enhancement is a challenge task, mainly because the diversity of the WCE images of different people and the need to preserve the local fine details of WCE images. Hence, it is difficult to apply the traditional image enhancement methods based on global information to WCE image enhancement. In this paper, motivated by the capability of the anisotropic diffusion method in preserving local fine details, a new adaptive contrast anisotropic diffusion method has been developed to enhance WCE images, where the Hessian matrix is used to obtain better representation of the contrast information of WCE images meanwhile the diffusion parameter of the diffusion coefficient function is automatically determined according to the local characteristic. Experimental results have demonstrated the effectiveness of the proposed image enhancement method.