Discrete Cosine Transform (DCT) is very important in image compression. Classical 1-D DCT and 2-D DCT has time complexity O(NlogN) and O(N²logN) respectively. This paper presents a quantum DCT iteration, and constructs a quantum 1-D and 2-D DCT algorithm for image compression by using the iteration. The presented 1-D and 2-D DCT has time complexity O(sqrt(N)) and O(N) respectively. In addition, the method presented in this paper generalizes the famous Grover's algorithm to solve complex unstructured search problem.
@article{arxiv.quant-ph/0601043,
title = {Quantum Discrete Cosine Transform for Image Compression},
author = {Chao Yang Pang and Zheng Wei Zhou and Guang Can Guo},
journal= {arXiv preprint arXiv:quant-ph/0601043},
year = {2007}
}