4KDehazeFlow: Ultra-High-Definition Image Dehazing via Flow Matching

4KDehazeFlow represents a significant leap in Ultra-High-Definition image dehazing, tackling challenges faced by previous methods, such as limited adaptability and high computational demands. This innovative approach employs Flow Matching and a haze-aware vector field to optimize the dehazing process through a continuous vector field flow. Its compatibility with various deep learning networks and the introduction of a learnable 3D lookup table streamline the haze transformation process. The method's performance is validated through extensive experiments, demonstrating a notable improvement over seven leading techniques, with a PSNR increase of 2dB and superior results in dense haze scenarios. This development is vital for enhancing image quality in numerous applications, from photography to surveillance, where clarity and detail are paramount.