激光打印文档扫描图像倾斜自适应矫正技术  

Adaptive tilt correction technology for laser printed document scanning images

作  者:段园园[1] 赵中原[1] DUAN Yuanyuan;ZHAO Zhongyuan(Zhoukou Normal University,Zhoukou Henan 466001,China)

机构地区:[1]周口师范学院,河南周口466001

出  处:《激光杂志》2025年第2期239-244,共6页Laser Journal

基  金:河南省自然科学基金资助项目(No.222300320358)。

摘  要:激光打印文档作为日常办公、学术研究及法律公证等领域的关键资料,其扫描图像的质量直接影响数字化信息的准确性和可用性。在实际的文档扫描过程中,受多种因素的影响,易导致扫描图像存在倾斜现象。为此,研究激光打印文档扫描图像倾斜自适应矫正技术。以激光打印扫描技术成像理论,描述文档图像在扫描过程中的像素转换关系;依据像素转换关系划分倾斜类型,以径向畸变向量为矫正目标,在非线性关系作用下建立矫正模型;经过矫正模型获取图像径向畸变参量,采用牛顿算法求解参数,实现激光打印文档扫描图像自适应矫正。结果表明:以6种倾斜变形扫描图像作为测试基准集,经过所研究方法的矫正后,图像与真实文档之间具有较高的相似性,局部变形得到明显改善。Laser printed documents,as key materials in daily office work,academic research,and legal notarization,have a direct impact on the accuracy and availability of digital information due to the quality of their scanned images.In the actual document scanning process,various factors can easily lead to skewed scanning images.Therefore,this paper studies the adaptive correction technology for skewness in laser printed document scanning images.Using the imaging theory of laser printing scanning technology,describe the pixel conversion relationship of document images during the scanning process;Divide tilt types based on pixel conversion relationships,use radial distortion vectors as correction targets,and establish a correction model under the influence of nonlinear relationships;After correcting the model to obtain the radial distortion parameters of the image,the Newton algorithm is used to solve the parameters and achieve adaptive correction of laser printed document scanning images.The results showed that using 6 types of oblique deformation scanning images as the test benchmark set,after correction by the studied method,the images had a high similarity with the real document,and local deformation was significantly improved.

关 键 词:激光打印文档 扫描图像 自适应矫正 图像倾斜 

分 类 号:TN39[电子电信—物理电子学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象