Thumbnail Image with Blurry Edge Information Utilizing Half Factor Rules

Thumbnail image with blurry edge information has attracted much attention in recent years. Thumbnail image, which is a tiny version of the original image, enables user to scan through a large proportion of image data for elimination of blurry image or picking up a sharp and a nice image in user’s perspective. The thumbnail image is being utilized commonly in camera, smart phone, and other computing devices. In this paper, a method to embed blurry edge information in thumbnail images is proposed. This method is straight forward and simple to be implemented in electronic products. The image will undergo edge width measurement process by finding the local maximum and local minimum locations based on its edge magnitude. This is obtained after the implementation of horizontal and vertical first order derivatives of the original high resolution input image. The blur edges will be emphasized by utilizing edge width information during downsampling process to enable users to identify blurry edge image distinctively. Experimental results show a satisfactory outcome in embedding blurry characteristics of the original image to thumbnail image on the proposed method.