Open AccessImage Noisy Elimination Using Advanced Linear Function
Author(s) -
K. Pavan Kumar,
B. V. Subba Rao,
Y. Suresh
Publication year - 2022
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-2986
Subject(s) - computer science , haze , visibility , mist , pixel , computer vision , fidelity , high dynamic range imaging , high dynamic range , artificial intelligence , latency (audio) , range (aeronautics) , image processing , block (permutation group theory) , image (mathematics) , dynamic range , mathematics , engineering , optics , telecommunications , physics , geometry , meteorology , aerospace engineering
Weather degradation such as haze, fog, mist, etc. severely reduces the effective range of visual surveillance. This degradation is a spatially varying phenomena, which makes this problem non trivial. Dehazing is an essential pre-processing stage in applications such as long-range imaging, border security, intelligent transportation system, etc. However, these applications require low latency of the pre-processing block. The proposed method can recover a high-quality haze-free image based on the physical model, and the complexity of the proposed method is only a linear function of the number of input image pixels. Experimental results demonstrate that the proposed method can allow a very fast implementation and achieve better restoration for visibility and color fidelity compared to some state-of-the-art methods