基于小波原子函数的分辨率增强

V. Ponomaryov, Francisco Gomeztagle, V. Kravchenko
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引用次数: 0

摘要

本研究分析了一种基于小波原子函数(WAF)的新方法在不同类型彩色和灰度视频序列的高分辨率重建中的实现和性能。该方法基于余弦近似、Reisz值等关键小波特性得到证明,与初始图像格式相比,可以将视频分辨率提高四倍。基于waf的统计仿真结果方法在提高分辨率方面优于现有框架,无论是从客观标准还是基于更主观的人类视觉度量。该方案在数字信号处理器(DSP)上的实现证明了实时处理的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Resolution enhancement based on wavelet atomic functions
This study analysed the implementation and performance of a novel procedure based on wavelet atomic functions (WAF) used in the high-resolution reconstruction of colour and greyscale video sequences of different types. The approach, which is justified based on key Wavelet properties such as cosine approximation, Reisz values, etc., permits the enhancement of video resolution by four times in comparison with that of the initial image format. Statistical simulation results method based on WAFs performs better at improving resolution than do existing frameworks, both in terms of objective criteria and based on the more subjective measure of human vision. Implementations of the proposal on a Digital Signal Processor (DSP) have demonstrated the possibility of real-time processing.
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