ADAPTIVE AND HISTOGRAM EQUALISATION IMAGE ENHANCEMENT METHODS FOR CORRECTING LOW ILLUMINATION IMAGES
In real world applications the need to extract the key features from low-illumination images, night vision or abrupt weather conditions is a challenge. In order to fulfil this need the image enhancement method is used in digital image processing to reduce the flaws in the image by brightening, sharpening etc. Due to image enhancement the visibility and contrast of the image is improved. In this paper, the colour correction for low illumination images is done using adaptive enhancement technique and histogram equalisation method accompanied with fusion strategy. In this paper, the RGB image is converted into HSV colour plane and V-plane is modified accordingly with the methods to improve the brightness of the image. The entropy, PSNR, MSE of different images are calculated and compared. The adaptive enhancement technique showed better results compared to histogram equalisation. The enhanced images by these techniques are clear and bright when compared to input image.