1 Page 1-13 © MAT Journals 2018. All Rights Reserved Journal of Radio and Television Broadcast Volume 3 Issue 3 Modified IDCP Technique for Accurate Image Defogging 1 Bulbul Bandil, 2 Vikas Mahor, 3 Vandana Vikas Thakare 1 MTech Student, 2,3 Assistant Professor 1,2,3 Department of Electronics and Communication Engineering, MITS, Gwalior, Madhya Pradesh, India Email: 1 bulbulbandil@gmail.com, 2 vikas.mahor@ymail.com, 3 vandanavt_19@rediffmail.com Abstract Digital Image is an imperative part in the explanation and analysis of data, which is in the digital type. Images and videos of outside scenes are generally affected by the bad weather environment such as haze, fog, mist etc. So image has bad visibility of the scene caused by the lack of quality. In current scenario the defogging techniques are not used practically in real time systems such as cases of train accidents due to fog. This paper exhibits a study about various image defogging techniques to eject the haze from the fog images caught in true world to recuperate a fast and enhanced nature of fog free images. The paper also presents a novel modified IDCP technique for efficient image defogging. In proposed work, we enhance digital images by applying modified technique model i.e. M-IDCP (Modified-Improved Dark Channel Prior) Technique which provide a superior quality picture with clear visibility and distinctive color. Toward the end, we remove the first defogging image and look at them based on their Peak Signal Noise Ratio (PSNR), Mean Square Error (MSE) parameters. Result obtained from modified model (IDCP- DCP- HE-CHAHE) showed improved performance in term of estimation of air-light , sky regions become bright and smoother and halo effect is also reduced in robustness PSNR and MSE than that of (DCP- HE-CHAHE) in addition to the quality of recovered defogged image. With this proposed work defogging parameters as PSNR and SNR have been increased by more than 20 percentage as compared to other literature. Index Terms: Image Defog; DCP; IDCP; CLAHE; PSNR; MSE INTRODUCTION Image processing (IP) systems increment the estimation of a picture from the defiled picture. Outdoor scene images captured in the bad weather are often offended because of the entity of the haze, fog, mist, or other media. And other bad environment by such as fog, haze, rain and snow is the main reason of image degradation which have poor quality. During Fog, The light gets spread out before reaching the camera, when we take an image using a camera due to a little impurity in the atmosphere .So study on image defogging is very necessary for IP and target recognition. Image enhancement technique enhances the opposite of haze image but it lead to loss of information in image. Image Restoration (IR) deals to the physical method of images in fog. Picture will be set in the debasement of haze and cloudiness. At last, the corruption method is utilized to make the fog-free image. [1][3] In mostly systems, related to image visibility degradation [7] can be hard which run under a wide range of environment conditions, including outdoor object recognition systems, remote sensing systems, smart transportation systems such as recording of travelling vehicle data and traffic observation system [11]. By the presence of floating small particles in the atmosphere, haze is produced which is called aerosols. This is able to grasp and spread the beams of light. Immediately in digital vision, image dehazing has turn out to be a major research problem. The brought to you by CORE View metadata, citation and similar papers at core.ac.uk provided by MAT Journals