计算机应用与软件2024，Vol.41Issue(12)：223-228,6.DOI:10.3969/j.issn.1000-386x.2024.12.032
分块自适应纸箱图像压缩方法研究
BLOCKWISE ADAPTIVE CARTON IMAGE COMPRESSION ALGORITHM
张宝 1谭建 2杨涛2
作者信息
- 1. 四川中烟工业有限责任公司 四川 绵阳 621000
- 2. 西南科技大学信息工程学院 四川 绵阳 621010
- 折叠
摘要
Abstract
A block-adaptive image compression algorithm based on dictionary learning is proposed for images with clear structures such as cartons.The KSVD algorithm was used to train an offline dictionary for the carton image sample set,the OMP algorithm was used to calculate the initial sparse coefficient matrix of the image block under the original error,the improved Canny edge detection was used to determine the structure complexity of the image block and adaptively set the sparse representation model's quadratic optimization error for block partitioning,to achieve targeted compression of different image blocks.The experimental results of multiple carton images with different text density show that this algorithm can achieve a compression ratio of 0.95%to 1.95%while preserving the important information of the image.关键词
字典学习/图像分块/边缘检测/自适应误差/稀疏重构/图像压缩Key words
Dictionary learning/Image block/Edge detection/Adaptive error/Sparse reconstruction/Image compression分类
信息技术与安全科学引用本文复制引用
张宝,谭建,杨涛..分块自适应纸箱图像压缩方法研究[J].计算机应用与软件,2024,41(12):223-228,6.
