一种新型的遥感影像压缩质量评价指标

基金项目: 地理空间信息工程国家测绘局重点实验室开放研究基金资助项目;国家基础测绘基金资助项目(14699990624201)

详细信息

A New Quality Assessment Index for Compressed RS Image

¹ Chinese Academy of Surveying and Mapping , 16 Beitaiping Road , Haidian District, Beijing 100039, China² School of Resource and Environment Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China

Funds: 地理空间信息工程国家测绘局重点实验室开放研究基金资助项目;国家基础测绘基金资助项目(14699990624201)

摘要: 针对遥感影像的特性,提出了一个用于压缩质量评价的多维结构模型,该结构模型由影像特征畸变、纹理畸变和相关性损失三个“维”组成,在此基础上提出一种新的构像质量综合性评价指标。实验证明,该指标与传统的PSNR指标相比,与主观评价结果具有较好的吻合性。
- 影像质量 /
- 质量评价指标 /
- JPEG2000 /
- PSNR
Abstract: Quality assessment for remote sensing image compression is of great significance in many practical applications. A muti-dimensional structure model is designed for image compression assessment, which consists of gray character distortion dimension, texture distortion dimension, loss of correlation dimension. Based on this model, a new index-Q is proposed and validated through a series of experiments. The experiments show that Q has a better consistency with subjective assessment results than conventional PSNR.
- image quality /
- quality assessment index /
- JPEG2000 /
- PSNR