视觉传达技术的多光谱图像高效压缩方法  

Efficient multispectral image compression method based on visual communication technology

作　　者：牛玉玺[1] NIU Yuxi(Xi’an Eurasia University,Xi’an 710065,China)

机构地区：[1]西安欧亚学院,西安710065

出　　处：《激光杂志》2023年第12期110-114,共5页Laser Journal

基　　金：陕西省自然科学基金项目(No.2020JQ-657);西安欧亚学院2019年度立项重点课程建设项目(No.2019KC015)。

摘　　要：通过对多光谱图像压缩处理,降低存储空间并提高图像存储质量,提出基于视觉传达技术的多光谱图像高效压缩方法。采用二维小波变换进行多光谱图像的细节层结构融合处理,提取多光谱图像的向量量化特征分布集,采用低频特征分解和视觉传达融合技术实现对多光谱图像的冗余性处理,通过图像编码和子空间降噪技术建立多光谱图像的压缩编码模型,采用结构信息特征重组和无损压缩传输技术实现对多光谱图像的视觉传达重构和多重特征压缩。仿真测试表明,采用该方法进行多光谱图像压缩的无损性较好,对细节特征的保留能力较强,图像码字和原始矢量的匹配度较高,可有效保留图像的细节分量的同时降低了图像的存储开销。By compressing multispectral images,reducing storage space and improving image storage quality,an efficient multispectral image compression method based on visual communication technology is proposed.Two-dimen-sional wavelet transform is used to fuse the detail structure of multispectral images,and the vector quantization feature distribution set of multispectral images is extracted.Low-frequency feature decomposition and visual communication fusion technology are used to realize redundancy processing of multispectral images.The compression coding model of multispectral images is established by image coding and subspace noise reduction technology,and the visual communi-cation reconstruction and multi-feature compression of multispectral images are realized by structural information fea-ture recombination and lossless compression transmission technology.The simulation results show that this method is lossless in multi-spectral image compression,has a strong ability to retain the details,and has a high matching degree between the image code word and the original vector,which can effectively retain the details of the image and reduce the storage cost of the image.

关 键 词：视觉传达技术 多光谱图像 高效压缩 二维小波变换 

分 类 号：TN209[电子电信—物理电子学]