Modified Wavelet Based Sharp Feature Multi-Focus Image Fusion in DCT Domain

The Dissertation a multi-focus image fusion approach using a new sharpness criterion that depends on statistics of image's gradient information is proposed in this dissertation. The proposed approach exploits a Discrete Cosine Wavelet criterion to adaptively perform image fusion by selecting most informative (sharp) information from the input images. The proposed Discrete Cosine Wavelet sharpness criterion outperforms over Bacterial conventional sharpness criterions, as verified in our extensive experiments using four sets of test images under two objective metrics, and the comparison takes places in the table and shows that resultant image is better quality than the previous method.