{"title":"优化音乐教学中多媒体视觉表现的新增强技术","authors":"Mengmeng Chen, Chuixiang Xiong","doi":"10.18280/ts.400530","DOIUrl":null,"url":null,"abstract":"With the continuous advancement of modern educational technologies, there has been a growing interest in multimedia visual expression methods within the domain of music pedagogy. These methods aim to provide students with an intuitive and vivid learning environment, facilitating a more profound understanding of music's structure and emotions. However, despite the availability of various image enhancement techniques, many tend to focus only on certain image attributes, often neglecting a comprehensive perspective on image aesthetics and authenticity. Addressing this issue, innovative image enhancement techniques are introduced in this study: an adaptive Gamma correction method for luminance adjustment, a saturation correction method based on luminance components, and a multimedia image enhancement method founded on an improved CLAHE algorithm. These methods not only significantly elevate the visual effects of multimedia in music teaching but also offer substantial technical support for the modernization of music education.","PeriodicalId":49430,"journal":{"name":"Traitement Du Signal","volume":"118 ","pages":"0"},"PeriodicalIF":1.2000,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"New Enhancement Techniques for Optimizing Multimedia Visual Representations in Music Pedagogy\",\"authors\":\"Mengmeng Chen, Chuixiang Xiong\",\"doi\":\"10.18280/ts.400530\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the continuous advancement of modern educational technologies, there has been a growing interest in multimedia visual expression methods within the domain of music pedagogy. These methods aim to provide students with an intuitive and vivid learning environment, facilitating a more profound understanding of music's structure and emotions. However, despite the availability of various image enhancement techniques, many tend to focus only on certain image attributes, often neglecting a comprehensive perspective on image aesthetics and authenticity. Addressing this issue, innovative image enhancement techniques are introduced in this study: an adaptive Gamma correction method for luminance adjustment, a saturation correction method based on luminance components, and a multimedia image enhancement method founded on an improved CLAHE algorithm. These methods not only significantly elevate the visual effects of multimedia in music teaching but also offer substantial technical support for the modernization of music education.\",\"PeriodicalId\":49430,\"journal\":{\"name\":\"Traitement Du Signal\",\"volume\":\"118 \",\"pages\":\"0\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2023-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Traitement Du Signal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18280/ts.400530\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Traitement Du Signal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18280/ts.400530","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
New Enhancement Techniques for Optimizing Multimedia Visual Representations in Music Pedagogy
With the continuous advancement of modern educational technologies, there has been a growing interest in multimedia visual expression methods within the domain of music pedagogy. These methods aim to provide students with an intuitive and vivid learning environment, facilitating a more profound understanding of music's structure and emotions. However, despite the availability of various image enhancement techniques, many tend to focus only on certain image attributes, often neglecting a comprehensive perspective on image aesthetics and authenticity. Addressing this issue, innovative image enhancement techniques are introduced in this study: an adaptive Gamma correction method for luminance adjustment, a saturation correction method based on luminance components, and a multimedia image enhancement method founded on an improved CLAHE algorithm. These methods not only significantly elevate the visual effects of multimedia in music teaching but also offer substantial technical support for the modernization of music education.
期刊介绍:
The TS provides rapid dissemination of original research in the field of signal processing, imaging and visioning. Since its founding in 1984, the journal has published articles that present original research results of a fundamental, methodological or applied nature. The editorial board welcomes articles on the latest and most promising results of academic research, including both theoretical results and case studies.
The TS welcomes original research papers, technical notes and review articles on various disciplines, including but not limited to:
Signal processing
Imaging
Visioning
Control
Filtering
Compression
Data transmission
Noise reduction
Deconvolution
Prediction
Identification
Classification.