Abstract:
"Beginner mobile photographers and amateur mobile photographers face the constant problem of not being able to take good quality mobile images if they are not well versed in the aspect of photography and if they do not possess an understanding of how the photography triangle works. Furthermore, as they are just starting out, they face the bigger issue of understanding the necessary aspects of the captured image and what needs to be enhanced and how the specific type of image must be enhanced/edited to reach a better audience.
As users face the issue of capturing better quality images, the author hopes to solve this problem by providing a comprehensive solution via mobile application that addresses the issues of image analysis and enhancement when it comes to captured images. By integrating image classification, metadata extraction, image enhancement options, and LUT options, the author aims to deliver a user-friendly and accessible solution that addresses the challenges of improving image quality on mobile devices. The solution being a mobile first approach sets this application apart as current competitors are mostly desktop applications.
The solution offered by the author is a mobile application that addresses the issues of image analysis and enhancing images for the beginner and amateur mobile photographers. The proposed application makes use of the latest and in-trend techniques for image classification, metadata extraction, and image enhancement to provide the user of the most accurate output. The result of the research is an application that offers users a convenient and effective way to analyze and enhance their images, helping them to achieve better image quality.
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