“…The underlying principle of this algorithm is to ensure similarity between the image gradient, grayscale, and the input guidance map. Guided filtering finds extensive applications in tasks such as refining transmission rate in haze and rain removal [15], image denoising [16], detail enhancement [17], and high dynamic range imaging [18]. In this research paper, we leverage the application of fast guided filtering to enhance image gradients.…”