Recently the most role and wide application fields have seen in computer vision and graphics, Computer vision applications are largely impaired when weather is unfavorable, which typically causes reduced visibility in capturing clear images. In image processing context, haze is a surrounding condition that affects scene objects clarity attributed to the influence of moisture in the atmosphere. Haze worsens clarity of scene objects, which consequently impact computer vision and graphic applications negatively. Here the role of the dehazing method still it is very important in computer vision applications, it can make images more clear by taking off haze from them, thus the scene vision will increment. From earlier up to now, many methods have been proposed for improving images. The single image dehazing method is one of them and recently the researchers are more interested in this method. The primary contributions of this review study focus on explaining the cause of haze formation for images, general historical overview of single image dehazing methods, explain the most equation used in the dehazing process those help to contribute the new methods to remove haze and clarify the hazy image, and clarify the pros and cons of haze removal methods.