Image enhancement is a processing on an image in order to make it more appropriate for certain applications. It is used to improve the visual effects and the clarity of image or to make the original image more conducive for computer to process. In this paper we are going to review the different image contrast enhancement techniques. Image Enhancement techniques increase the contrast of image wh...

We introduce EnhanceGAN, an adversarial learning based model that performs automatic image enhancement. Traditional image enhancement frameworks involve training separate models for automatic cropping or color enhancement in a fully-supervised manner, which requires expensive annotations in the form of image pairs. In contrast to these approaches, our proposed EnhanceGAN only requires weak supe...

Technical limitations in image capturing usually impose defective, such as contrast degradation. There are different approaches to improve the contrast of an image. Among the exiting approaches, un-sharp masking is a popular method due to its simplicity in implementation and computation. There is an important parameter in un-sharp masking, named gain factor, which affects the quality of the enh...

Image Enhancement Is As Much An Art As It Is A Science.” Image enhancement is one of the key issues in high quality pictures such as digital cameras. The main purpose of image enhancement is to bring out detail that is hidden in an image or to increase contrast in a low contrast image. This technique provides a multitude of choices for improving the visual quality of images. This is the main re...

This work presents a method to predict geometric surface image from photograph assist in recognition. To recognize objects, several images different conditions are required for training model or fine-tuning pre-trained model. In this work, is introduced as better representation than its color counterpart overcome lighting conditions. The predicted image. do so, the together with photographs fir...

Image enhancement can improve the detail of the image and so as to achieve the purpose of the identification of the image. At present, the image enhancement is widely used in medical images, which can help doctor's diagnosis. IEABPM (Image Enhancement Algorithm Based on P-M Model) is one of the most common image enhancement algorithms. However, it may cause the lost of the texture details and o...

Image enhancement plays an important role in computer vision. The degraded image, blurred image and noised image effect the medical diagnosis of image data, satellite image for information retrieval. Various authors and researcher propose a method of image enhancement such as histogram equalization, multi-point histogram equalisation and some method based on neural network and wavelet threshold...

Image enhancement which is one of the significant techniques in digital image processing plays important role in many fields. Image enhancement improves the visual appearance of an image or to convert an image to a form better suited for analysis by a human or machine. Contrast enhancement is one of the commonly used image enhancement method to improve the quality of image. In this paper, adapt...

Image Enhancement is one of the most important and difficult techniques in image research. The aim of image enhancement is to improve the visual appearance of an image, or to provide a “better transform representation for future automated image processing. Many images like medical images, satellite images, aerial images and even real life photographs suffer from poor contrast and noise. It is n...