Automatic explosion method based on multi-area partition and fuzzy logic

Abstract

This invention relates to one automatic exposure method based on multiple cutting and blur logics in digital imaging technique field, which comprises the following steps: dividing digital image area according to human face mode and Gauss mode into six areas and processing sum computation according to image exposure and its grey rectangle distribution by cutting near grey values between 0 and 255; representing its result for each area exposure evaluation and leading blur logic system to integrate each area grey information to get each area of different weight; finally computing to get whole image automatic exposure judge result.

Description

technical field [0001] The invention relates to a method in the technical field of digital imaging, specifically, an automatic exposure method based on multi-region segmentation and fuzzy logic. Background technique [0002] Nowadays, digital imaging technology is changing with each passing day, but its basic principles have not changed fundamentally compared to before, such as exposure methods. Exposure, as one of the most important imaging factors of imaging equipment, is one of the most important indicators to measure the quality of digital images. In digital cameras, the electronic aperture and electronic shutter are controlled by the central processing unit inside the camera, instead of the original mechanical shutter and aperture. The film is replaced by a CCD electronic coupling element, but the exposure process is still the same as before. It can be found that controlling the size of the aperture and the shutter speed is the key to affecting the exposure, and its b...

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Problems solved by technology

However, because the basis for judging inappropriate exposure is only limited to a certain critical value and does not include specific information of each part of the image, the judgment results of many images whose calculation results are close to the critical value and whose brightness is not much different are very different, which will inevitably lead to judgments. Instability and imprecision of results

In addition, this method considers the entire image as a whole, ignoring the light distribution and importance of different parts of the picture. For example, in portrait shooting, the overall brightness and importance of people are very different from the background. The image composition is complex and the judging result is unsatisfactory

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