Yaseen Al-Zubaidya,Yaseen Al-ZubaidyaRosalina Abdul SalamaKhairi Abdulrahim2024-05-292024-05-292016127969610.11113/jt.v78.69422-s2.0-84969820515https://www.scopus.com/inward/record.uri?eid=2-s2.0-84969820515&doi=10.11113%2fjt.v78.6942&partnerID=40&md5=4e2f12df85bb2d0670070decd504494chttps://journals.utm.my/jurnalteknologi/article/view/6942/4841https://oarep.usim.edu.my/handle/123456789/9496Outdoor images that are captured in bad weather conditions have low contrast and infidelity colours. Under the turbid medium conditions such as haze, mist, fog and drizzle, the light which reaches to the sensor is attenuated by atmospheric particles. These atmospheric phenomena degrade the contrast intensity of outdoor images based on haze density. In this research, we present new method to improve both the intensity and fine details of outdoor scene images. The RGB (Red, Green and Blue) input image is converted to the HSI (Hue Saturation Intensity) colour space and the density of the haze is estimated. Then, we use Contrast Limited Adaptive Histogram Equalization (CLAHE) technique to enhance the degraded intensity based on the estimation of the density of the haze. Our method is effective in a wide range of weather conditions and under different levels of visibility. � 2016 Penerbit UTM Press. All rights reserveden-USCLAHEHaze densityOutdoor imagesArticle1451527843863