A Method for Identification of Image Fuzzy Direction Based on Feature Block Directional Differentiation

Abstract

The invention discloses an image blurring direction identification method based on a characteristic block direction differential. The method comprises the steps of calculating local deviation of point coordinates of each pixel of a target image, selecting first M points with the maximum local deviation, randomly selecting an N point serving as a characteristic block construct point in the M points, wherein the M and the N are positive integers, the M is larger than the N, and the N is larger than 1, regarding coordinates of the characteristic block construct point as a center, building the square characteristic blocks with the edges as C pixels and the areas as C*C, wherein the C is a positive integer, identifying a blurring direction angle of each characteristic block by a directional differentiation, recording the blurring direction angles of all the characteristic blocks, and judging and obtaining the blurring direction angle of the target image according to the blurring direction angles of all the characteristic blocks. The image blurring direction identification method processes identification of the burring direction of the target image in a simplified mode, reduces operation quantity and operation time, and obtains the accurate blurring direction by the calculating mode of multiple weighted means for the directional differentiation.

Description

technical field [0001] The invention belongs to the field of image display and relates to an image blur direction identification method based on feature block direction differentiation. Background technique [0002] The relative motion between the camera and the shooting object will cause motion blur in the photo. There are many types of motion blur, such as defocus blur caused by camera shake; linear motion blur caused by high-speed linear moving objects, due to the extremely short exposure time, relative motion blur It can be approximated as uniform linear motion. This kind of blur is generally called uniform linear motion blur, which is more common in traffic videos; there are also mixed motion blur and so on. The present invention only deals with uniform linear motion blur. The blur parameters of uniform linear motion blur include blur length and blur direction. When dealing with motion blur images, such as image restoration, target recognition, etc., it is often necess...

AI Technical Summary

Problems solved by technology

[0015] In order to overcome the technical problem that the basic direction differential method is not accurate enough to judge the blur direction angle and the calculation amount is huge, the present invention provides a method for identifying the direction of image blur based on the feature block direction differentiation

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