Removing Camera Shake using Discrete Cosine Transform
D. Ramesh, Darvemula Sreeram Krishna, K. Rajasekhar · International Journal of Computer Applications · 2017
Image restoration is one of the burning issues in the field of image processing.Generally, images are corrupted or damaged due to the noise present in the system or due to motion blur while capturing the image.In this paper, a problem of removing blurness in an image which is caused due to camera shake is discussed.The blur Kernel in an image is uneven.Because of this reason, every image in a burst of images is blurred in a different way.In this paper, a new technique is proposed in which burst of images are taken and calculates a weighted average in discrete cosine domain, where the weights depend on their discrete cosine spectrum magnitudes.