Light spot blurring special effect implementation method

Abstract

The invention discloses a light spot blurring special effect implementation method. The periphery of an original image is filled with black pixels so that the size of the original image can be filled to a predetermined size and an original filled image can be obtained, a light spot material image is subjected to zooming so that a zooming material image can be obtained, a weight image is constructed according to a preset weight lookup table, then, fast Flourier transform is performed on the original filled image, the zooming material image and the weight image, an original matrix, a material matrix and a weight matrix are respectively obtained through calculation, a light spot matrix is obtained through calculation, finally, fast Flourier transform is performed on the light spot matrix so that a light spot effect image can be obtained, an algorithm is simple and fast, the processing speed of the algorithm is 10 times higher than that of an existing algorithm, a large number of computing resources are saved, meanwhile, the expressive force of a common digital photo is substantially increased, and hardware cost does not need to be increased.

Description

technical field [0001] The invention relates to an image processing method, in particular to a method for realizing special effects of facula blurring. Background technique [0002] "Flare blur", also known as lens blur, refers to the "spot" effect that naturally appears on the highlights outside the focus of the subject during photography. These blurred "spots" often have consistent shapes and brilliant colors, and are often used by photographers to enhance the atmosphere of photos and express the emotions of works. For example, when shooting candlelight at night, use the spot blur method to create a soft "spot" of dots behind the subject, which can effectively highlight the subject-candlelight, without making the background too monotonous, and the subject and background blend. Xiang Huiyin, the expressiveness of the work has been greatly improved. [0003] Unfortunately, due to the limitations of the hardware itself, it is impossible to achieve a satisfactory blur effect...

AI Technical Summary

Problems solved by technology

[0004] However, the existing digital image "spot blur" algorithm is very inefficient. Taking an ordinary 800*500 digital photo as an example, the calculation time on an Armv7 core smartphone (take Samsung Galaxy S5 as an example) is as high as 6.73 seconds, the huge amount of calculation will also bring more serious heat and shorter battery life, which is unacceptable for mobile phone users

Images