Method for calculation of defocus fuzzy core and sharp processing of defocus fuzzy image of defocus fuzzy core

Abstract

The invention discloses a method for calculation of a defocus fuzzy core and sharp processing of a defocus fuzzy image of the defocus fuzzy core. In the method, a designed visor with a special pattern is loaded in a lens of a camera or vidicon so as to maintain high-frequency information of a shot image; a sharp image and a fuzzy image of the same scene are respectively shot, and then a relation between the sharp image and the fuzzy image is established based on a classical image degradation model; a signal to noise ratio parameter is effectively estimated by combining the characteristic thatthe optimal defocus fuzzy core value has symmetrical and sparse distributions; and finally, an evolution algorithm is designed so as to calculate the defocus fuzzy core of the position at which the defocus fuzzy image is located. All defocus fuzzy images which are shot at the position maintain more high-frequency information by a modified diaphragm, and deconvolution is carried out on the defocusfuzzy images by utilizing the calculated defocus fuzzy core, so as to obtain clearer images.

Description

technical field [0001] The invention belongs to the technical field of digital image restoration, and in particular relates to defocus blur kernel calculation and defocus blur image clearing processing method. Background technique [0002] In many practical environments, using a digital camera to capture images often results in blurred images, such as fast-moving objects, objects not on the focal plane, and atmospheric disturbances in the scene. The image blur caused by the shooting target is not in the focal plane of the imaging system is called defocus blur, such as figure 1 shown. Defocus blurred image sharpening technology is an important research direction in many disciplines such as optics, astronomy, computer vision and computer graphics, and has great application value in many fields such as environmental detection and physical evidence identification. [0003] Usually, people control the depth of field by adjusting the size of the aperture. Reducing the aperture m...

AI Technical Summary

Problems solved by technology

In recent years, people have found in the process of studying camera or video camera imaging that open apertures (such as Figure 2a As shown) in the case of image degeneration and blurring, its high-frequency information is often greatly reduced. However, high-frequency information can directly reflect the clarity of the image, which increases the difficulty for people to restore the blurred image afterwards and affects the restoration of the image. Effect

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