Computer image analysis method based on big data

Through the computer image analysis method based on big data, the multi-source data is integrated, the clarity identification coefficient and the enhancement order of magnitude coefficient are calculated, and the dynamic threshold determination and hierarchical enhancement strategy is realized, which solves the limitations of traditional methods when dealing with complex scenarios, and significantly improves the intelligence and efficiency of image enhancement.

CN119671878AActive Publication Date: 2025-03-21TAIYUAN KUNQI INTELLIGENT INNOVATION TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202411737046.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-29
Publication Date
2025-03-21
Estimated Expiration
2044-11-29

AI Technical Summary

Technical Problem

Traditional image enhancement methods lack comprehensive analysis of image characteristics details, cannot effectively deal with complex and diverse noise types and dynamically changing lighting environments, and lack refined control of the order of enhancement, which can easily lead to excessive enhancement or insufficient enhancement.

Method used

A computer image analysis method based on big data is adopted, through the collaborative work of multiple modules, including the first acquisition module, the second acquisition module, the data processing module, the calculation module and the analysis module, the multi-source data is integrated, and the clarity identification coefficient and the enhancement order coefficient are calculated to realize dynamic threshold determination and hierarchical enhancement strategies.

Benefits of technology

It significantly improves the reliability and intelligence level of image enhancement, avoids the problems of excessive enhancement and under-enhancement, optimizes the accuracy and efficiency of image quality processing, adapts to the needs of different scenarios, and provides scientific and efficient image enhancement solutions.

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Abstract

The invention relates to the technical field of image analysis, and discloses a computer image analysis method based on big data, which comprises a first acquisition module, a second acquisition module, a data processing module, a first calculation module, a second calculation module, a first analysis module, a second analysis module and an execution module. According to the method, through cooperative work of a plurality of modules, the problems of excessive enhancement and insufficient enhancement are avoided through multi-source data driving, dynamic threshold judgment and a hierarchical enhancement strategy, the reliability and the intelligent level of image enhancement are remarkably improved, and the method has relatively high adaptive capacity in different scenes and can be widely applied to the field of image enhancement. The accuracy and efficiency of image quality processing are optimized, and a scientific and efficient solution is provided for application of the computer vision technology.
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