Local sharpness failure detection of camera module lens based on image blur assessment

Videos and images have been widely used, and the requirements for camera imaging quality are getting higher and higher. At present, most methods of camera lens sharpness testing are divided into five areas: upper left, lower left, upper right, lower right, and middle. The test results of each area are used to approximate the overall sharpness level of the camera lens. The local sharpness failure of the camera lens cannot be solved by these methods. Because of this limitation, we proposed the idea of indirectly reflecting the local sharpness of the lens according to the image blur detection, and develop an image blur assessment method based on intensity and derivative (IDD). It can visualize the degradation process of camera sharpness from center to edge and the location of local failure. We demonstrate the feasibility and accuracy of the method through a case, as well as comparison to other methods.