A survey on image deblurring

• Published in: 2016 International Conference on Computer Communication and Informatics (ICCCI) pp. 1 - 5
• Main Authors: Mahalakshmi, A., Shanthini, B.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-01-2016
• Subjects: Cameras; Computers; Convolution; deblurring; Deconvolution; Image restoration; Informatics; Kernel; point spread function; weighted Fourier coefficient
• ISBN: 9781467366793; 146736679X
• DOI: 10.1109/ICCCI.2016.7479956

The blur removal due to camera shake and motion of the scene is been considered as a research topic in Image processing. To build a more sharper and reduced blurred image, an algorithm can be selected which is capable of grouping a burst of images (or more than one burst for high dynamic range), from that less blurred image from each frame can be preferred through a weighted average in the Fourier Transform. It found to be a better method to reduce the blur in the burst of images. The algorithm is simple to implement and easy to define theoretically. With a weighted average, the method can be seen as an overview of the align and standard procedure provoked by hand-shake physiology to choose the sharpness image selection and it is supported theoretically. The calculation of a weighted average of the Fourier Coefficients for the images in the burst can be generated by considering sequence of registered images as an input. An algorithm "Monte Carlo approach" has been proposed to reduce the computation complexity and to improve the quality of the image. After the process of deblurring, the improved quality of the image is capable to spot the specific exposure time.