Removing Camera Shake using Discrete Cosine Transform
نویسندگان
چکیده
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.
منابع مشابه
A New Weighted Average Filter for Removing Camera Shake
Image blurring is one of the major problems in the field of digital image processing. Generally, camera shake causes blurring. As a result, uneven blur kernel is present in the image which is random in nature. Therefore, every image in the burst is blurred in a different way. Deblurred image can be obtained using single image or multiple images. A clean sharp image is recovered by fusing the gr...
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