小波
小波变换
吊装方案
计算机科学
人工智能
图像处理
勒让德小波
快速小波变换
离散小波变换
多分辨率分析
计算机视觉
第二代小波变换
领域(数学)
图像(数学)
模式识别(心理学)
数学
纯数学
作者
Manas Saha,Mrinal Kanti Naskar,Β.N. Chatterji
出处
期刊:Lecture notes in networks and systems
日期:2019-10-15
卷期号:: 185-194
被引量:4
标识
DOI:10.1007/978-981-32-9453-0_19
摘要
Over the last few years, the wavelet transform has played a significant role in the field of multiresolution image analysis. The shortcomings of the wavelet transform laid the foundation of many advanced wavelets. This review paper brings together ten advanced wavelets on a common platform to discuss their importance, concept, architecture, merits and demerits in various fields of image processing. The relationships among the different advanced wavelets are also illustrated here. A comparison table serves as a catalog to know the recent trends and applications of the advanced wavelets.
科研通智能强力驱动
Strongly Powered by AbleSci AI