Rohit Pravin Mungekar, Navaneeth Krishna L S, R. Jayagowri, Vishwas P
{"title":"Implementation of Pipelined Architecture for Red Channel Compensation Unit for Underwater Image Processing in 45 nm technology","authors":"Rohit Pravin Mungekar, Navaneeth Krishna L S, R. Jayagowri, Vishwas P","doi":"10.1109/CCIP57447.2022.10058646","DOIUrl":null,"url":null,"abstract":"Underwater images obtained from sea is degraded in its quality due to absorption, scattering, bending of light etc. Red channel compensation is a major process in underwater image restoration which helps in avoiding the effect of red artifacts in the image. In this paper pipelined architecture is developed for red channel compensation unit. The architecture is synthesized for 45nm Technology node and simulated for its functionality verification at 100MHz of operating frequency. The IEEE-754 standard is used to store and access the image from memory. A method is proposed in the designed architecture intended for fast computation and power reduction.","PeriodicalId":309964,"journal":{"name":"2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCIP57447.2022.10058646","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
Underwater images obtained from sea is degraded in its quality due to absorption, scattering, bending of light etc. Red channel compensation is a major process in underwater image restoration which helps in avoiding the effect of red artifacts in the image. In this paper pipelined architecture is developed for red channel compensation unit. The architecture is synthesized for 45nm Technology node and simulated for its functionality verification at 100MHz of operating frequency. The IEEE-754 standard is used to store and access the image from memory. A method is proposed in the designed architecture intended for fast computation and power reduction.