Image De-Hazing Using Globally Guided Image Filtering

Abstract

De-hazing is the process of eliminating haze from photographs, with various filters designed for this purpose. The latest technology in de-hazing involves globally directed picture filtering, aiming to remove haze while preserving the picture's authenticity. It is crucial for the image structure to align with the colour scheme, and a bilateral filter de-noising approach, in combination with the existing GGIF method, can be employed for this purpose. The program's effectiveness will be assessed using a performance parameter named perceptual fog density.

Addressing reduced visibility in the field of computer vision and image manipulation scenarios caused by atmospheric haze or fog is a significant task. The approach titled "Image de-hazing using globally guided image filtering" introduces an innovative method. This technique utilizes a globally guided image filtering mechanism, considering information from the entire image during the de-hazing process. Unlike local filtering methods, this global approach takes into account the overall context of the image, ensuring more precise haze removal and preservation of essential image details.

The method's key strength lies in its capability to effectively handle intricate atmospheric conditions leading to haze. By leveraging global guidance, the filtering process can adapt to varying haze levels across different parts of the image, resulting in a uniform and visually appealing de-hazing outcome.