Implementation of a Wavelet Encoder-Decoder Image on a Microcontroller

2021 IEEE 8th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T) Pub Date : 2021-10-05 DOI:10.1109/PICST54195.2021.9772150

M. Patlayenko, O. Osharovska, V. Solodka, V. Pyliavskyi

{"title":"Implementation of a Wavelet Encoder-Decoder Image on a Microcontroller","authors":"M. Patlayenko, O. Osharovska, V. Solodka, V. Pyliavskyi","doi":"10.1109/PICST54195.2021.9772150","DOIUrl":null,"url":null,"abstract":"This paper developed a modernized image compression algorithm based on the wavelet transform, which is implemented in the MATLAB Simulink development environment for use in modern microcontrollers and minicomputers. The block diagram of the encoder and decoder is shown. The results of the development of the encoding and decoding device based on the Raspberry PI 3 Model B microcontroller are presented. The comparison of the performance indicators of the algorithm with the IPEG2000 and MPEG4 encoders is made. The metrics of the signal-to-noise ratio were used as quality indicators, and also were used the signal-to-noise ratio at the edges of objects in the scene and the size of the compressed image. Comparison is made for ultra-high definition images and for video sequences. The comparison results are given for three bit rates, namely 150, 200 and 220 Mbps. When using the proposed compression method, the file size on disk is 18 times smaller than that of JPEG2000.","PeriodicalId":391592,"journal":{"name":"2021 IEEE 8th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T)","volume":"11 5","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 8th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PICST54195.2021.9772150","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

This paper developed a modernized image compression algorithm based on the wavelet transform, which is implemented in the MATLAB Simulink development environment for use in modern microcontrollers and minicomputers. The block diagram of the encoder and decoder is shown. The results of the development of the encoding and decoding device based on the Raspberry PI 3 Model B microcontroller are presented. The comparison of the performance indicators of the algorithm with the IPEG2000 and MPEG4 encoders is made. The metrics of the signal-to-noise ratio were used as quality indicators, and also were used the signal-to-noise ratio at the edges of objects in the scene and the size of the compressed image. Comparison is made for ultra-high definition images and for video sequences. The comparison results are given for three bit rates, namely 150, 200 and 220 Mbps. When using the proposed compression method, the file size on disk is 18 times smaller than that of JPEG2000.

查看原文本刊更多论文

小波图像编解码器在单片机上的实现

本文提出了一种基于小波变换的现代图像压缩算法，并在MATLAB Simulink开发环境下实现，适用于现代微控制器和小型计算机。给出了编码器和解码器的框图。介绍了基于树莓派3 B型单片机的编解码装置的研制结果。将该算法的性能指标与IPEG2000和MPEG4编码器进行了比较。采用信噪比作为质量指标，同时采用场景中物体边缘的信噪比和压缩图像的大小作为质量指标。对超高清图像和视频序列进行了比较。给出了150mbps、200mbps和220mbps三种比特率下的比较结果。当使用所提出的压缩方法时，磁盘上的文件大小比JPEG2000小18倍。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2021 IEEE 8th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T)

自引率

0.00%

发文量