巢湖学院学报 ›› 2023, Vol. 25 ›› Issue (6): 93-100.doi: 10.12152/j.issn.1672-2868.2023.06.012

• 信息科学 • 上一篇    下一篇

可控压缩映射在图像解码上的应用

袁宗文,王根:巢湖学院 电子工程学院   

  1. 巢湖学院 电子工程学院,安徽 巢湖 238024
  • 收稿日期:2023-05-04 出版日期:2023-11-25 发布日期:2024-05-28
  • 作者简介:袁宗文(1978—),男,安徽含山人,巢湖学院电子工程学院副教授,主要从事智能信息处理及数字图像处理研究。
  • 基金资助:
    安徽省高校杰出青年科研项目(项目编号:2022AH020093)

Application of Controllable Compression Map in Image Decoding

YUAN Zong-wen,WANG Gen:School of Electronic Engineering, Chaohu University   

  1. School of Electronic Engineering, Chaohu University, Chaohu Anhui 238024
  • Received:2023-05-04 Online:2023-11-25 Published:2024-05-28

摘要: 传统分形图像解码非常快,过程难以控制。特殊应用场合如视频特效、动画制作可能需要渐进的图像解码过程。有学者在压缩映射中引入控制参数可以减慢分形解码过程,但没有建立起控制参数与解码图像序列峰值信噪比之间的关系。提出基于峰值信噪比的分形图像解码算法,实现了解码过程可以按照设计好的峰值信噪比序列进行解码,为需要更为灵活多样的图像解码应用场合提供选择。

关键词: 分形解码, 压缩映射, 参数, 可选路径, 峰值信噪比

Abstract: Traditional fractal image decoding is very fast, and the process is difficult to control. Special applications such as video effects and animation may require a gradual image decoding process. Some scholars have introduced control parameters into compression mapping to slow down the fractal decoding process, but the relationship between control parameters and the peak signal-to-noise ratio (PSNR) of decoded image sequences has not been established. In this paper, a fractal image decoding algorithm based on peak signal-to-noise ratio is proposed, which realizes that the decoding process can be conducted according to the designed peak signal-to-noise ratio sequence, providing options for diverse image decoding applications.

Key words: fractal decoding, compression map, parameter, alternative path, PSNR

中图分类号: 

  • TP391