Deblurring Of Blurred Image By Measuring White Space
SAHU DEVIKA, Sanjivani Shantaiya · i-manager’s Journal on Image Processing · 2018
Nowadays, image processing is among rapidly growing technologies. Deblurring of an image nowadays is very important in the field of photography and multimedia, which is dependent upon various parameters, such as Gaussian noise, Shaking of the camera, incorrect focus, object motion, etc. The signal processing deals with the transmission, reception, and storing of the data. The data is in the form of analog or digital data (Bae and Durand, 2007). In this method, filtering plays a very crucial role in the transmission and reception or reconstruction of the image. The signal involves the transmission of an image, voice, or sound. Image processing is a method to perform an operation on the image to extract some information or to enhance the image (Shen et al., 2012). The basic purpose of image processing is observing the object to be processed, image pattern recognition, and image restoration. Blurring creates distortion in the image which makes any image unclear. Some of the examples of blur effects are shown in Figure 1 (Dabov et al., 2008). These blurs are due to aperture of the camera and is due to the movement of the object. Image Deblurring is of two types based on the image and operator that are known or unknown, such as blind deblurring and Non-blind deblurring. In a blind