基于CSS类稳定子码的彩色与灰度图像水印算法OA
Color and grayscale image watermarking algorithm based on CSS class stable subcode
量子计算理论的研究成果预示着量子计算机有超高并行计算能力的优势,也为图像的安全保护带来了新的方向.回顾现有的研究结果,量子图像水印算法在嵌入量和鲁棒性方面仍然存在不足之处.几类不同的量子系统在运行过程中都不可避免地会受到环境的干扰,导致量子计算过程出错或信息丢失,含水印的载体图像遭遇噪声攻击后又会导致粒子发生量子比特翻转.因此,提出了基于CSS(calderbank-shor-steane)类稳定子码的彩色与灰度图像水印算法,保证纠错能力的同时降低了量子比特的消耗.将二值水印图像嵌入算法扩展到彩色与灰度图像的嵌入,使算法更具通用性.
Quantum computing,with its ultra-high parallelism,offers new opportunities for image security,yet existing quantum image watermarking algorithms still suffer from limitations in embedding capacity and robustness.Environmental interference in quantum systems and noise attacks on watermarked carrier images can lead to quantum bit errors and information loss,further restricting the practical application of such algorithms.To address these challenges,this paper proposes a color and grayscale image watermarking algorithm based on calderbank-shor-steane(CSS)stabilizer codes,which achieves error correction capability while reducing qubit overhead.By extending binary watermark embedding to color and grayscale images,the algorithm gains improved versatility.
刘恒瑞;董玉民
重庆师范大学计算机与信息科学学院,重庆 401331重庆师范大学计算机与信息科学学院,重庆 401331
信息技术与安全科学
量子计算量子图像处理图像水印量子图像水印量子纠错码
quantum computingquantum image processingimage watermarkquantum image watermarkingquantum error-correcting code
《电子科技大学学报》 2026 (2)
289-300,12
国家自然科学基金(61772295)重庆市自然科学基金创新发展联合基金重点项目(CSTB2023NSCQ-LZX0139)重庆市教育委员会科学技术重大项目(KJZD-M202000501)
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