Ill-Exposed Image Correction via Dual Model Classification

The patent implements a universal correction mechanism that can handle multiple exposure types (back-lit, over-exposed, under-exposed) through a single integrated system. The computing device classifies ill-exposed images into different exposure types and applies appropriate correction algorithms for each type, making the system adaptable to various exposure conditions rather than being dedicated to a single type.

The patent adjusts correction parameters based on the classified exposure type of each image. By changing the correction parameters according to the specific exposure type (BL, OE, or UE), the system maintains high correction accuracy for each type while using a single universal mechanism, thus resolving the contradiction between specialization and adaptability.

The patent segments the image processing workflow into two stages: first, a lightweight classification stage that quickly identifies whether an image is ill-exposed and determines its exposure type; second, a correction stage that is only applied to classified ill-exposed images. This segmentation avoids performing heavy correction processing on all captured images, thus reducing computing resource consumption while maintaining image quality for those that need correction.

The patent applies correction processing only to the necessary subset of ill-exposed images rather than all captured images. By performing partial action (correction only when needed based on classification), the system improves image quality for problematic images while avoiding unnecessary computing resource consumption on already well-exposed images.