Single Image Dehazing using Color Correction and Fusion Technology

Image dehazing is an important preprocessing in the visibility of outdoor scene analysis. Image fusion based strategy computes the features of the image by computing three measures as weight map as luminance, chrominance and salience factors. Using fusion strategy the information is derived from the single image input. The proposed method derived the features from the color corrected input and histogram equalized input. The color correction has carried out using Adaptive Color Correction Matrix (ACCM) with defined gamma value. This is a direct method of spatial domain. The resultant image reconstructed using Laplacian and Gaussian pyramid with reduced artifacts. The accuracy and time complexity compared with the existing algorithm and shows better results than the state-of-art technologies.