Cone-beam computed tomography (CBCT) has been accepted as a useful tool for diagnosis and treatment planning in dentistry. Despite a growing trend of CBCT in dentistry, it has some disadvantages like artifacts. Artifacts are discrepancies between the reconstructed visual image and the actual content of the subject which degrade the quality of CBCT images, making them diagnostically unusable. Additionally, structures that do not exist in the subject may appear within images. Such structures can occur because of patient motion, the image capture and reconstruction process. To optimize image quality, it is necessary to understand the types of artifacts. This article aims to throw light on the various types of artifacts associated with CBCT images.
Abstract-In the recent world, designing of a secure cryptosystem is prime focused area for the researchers. This paper emphasizes on the image encryption/decryption technique using a key derived from a plain image. In the proposed algorithm, encryption key is derived by applying new curved scrambling method to the RGB layers of a plain image. In next step, a temporary cipher image is obtained by modulo arithmetic using encryption key. To enhance security level, execute additional diffusion method to reset the pixel values within the given block and finally generate a cipher image. The described algorithm achieves a larger key space, good statistical property and effective resistance to the brute force attack thus provides highly secure cryptosystem for the real world applications.
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