Transmission of Still Images Using Low-Complexity Analog Joint Source-Channel Coding
An analog joint source-channel coding (JSCC) system designed for the transmission of still images is proposed and its performance is compared to that of two digital alternatives which differ in the source encoding operation: Joint Photographic Experts Group (JPEG) and JPEG without entropy coding (JP...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-07-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/19/13/2932 |
| _version_ | 1798041231593308160 |
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| author | Jose Balsa Tomás Domínguez-Bolaño Óscar Fresnedo José A. García-Naya Luis Castedo |
| author_facet | Jose Balsa Tomás Domínguez-Bolaño Óscar Fresnedo José A. García-Naya Luis Castedo |
| author_sort | Jose Balsa |
| collection | DOAJ |
| description | An analog joint source-channel coding (JSCC) system designed for the transmission of still images is proposed and its performance is compared to that of two digital alternatives which differ in the source encoding operation: Joint Photographic Experts Group (JPEG) and JPEG without entropy coding (JPEGw/oEC), respectively, both relying on an optimized channel encoder−modulator tandem. Apart from a visual comparison, the figures of merit considered in the assessment are the structural similarity (SSIM) index and the time required to transmit an image through additive white Gaussian noise (AWGN) and Rayleigh channels. This work shows that the proposed analog system exhibits a performance similar to that of the digital scheme based on JPEG compression with a noticeable better visual degradation to the human eye, a lower computational complexity, and a negligible delay. These results confirm the suitability of analog JSCC for the transmission of still images in scenarios with severe constraints on power consumption, computational capabilities, and for real-time applications. For these reasons the proposed system is a good candidate for surveillance systems, low-constrained devices, Internet of things (IoT) applications, etc. |
| first_indexed | 2024-04-11T22:18:36Z |
| format | Article |
| id | doaj.art-dce4c1fb4b124533954595159dde9aba |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:18:36Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-dce4c1fb4b124533954595159dde9aba2022-12-22T04:00:17ZengMDPI AGSensors1424-82202019-07-011913293210.3390/s19132932s19132932Transmission of Still Images Using Low-Complexity Analog Joint Source-Channel CodingJose Balsa0Tomás Domínguez-Bolaño1Óscar Fresnedo2José A. García-Naya3Luis Castedo4Department of Computer Engineering, Universidade da Coruña (University of A Coruña), CITIC Research Center, Elviña, 15071 A Coruña, SpainDepartment of Computer Engineering, Universidade da Coruña (University of A Coruña), CITIC Research Center, Elviña, 15071 A Coruña, SpainDepartment of Computer Engineering, Universidade da Coruña (University of A Coruña), CITIC Research Center, Elviña, 15071 A Coruña, SpainDepartment of Computer Engineering, Universidade da Coruña (University of A Coruña), CITIC Research Center, Elviña, 15071 A Coruña, SpainDepartment of Computer Engineering, Universidade da Coruña (University of A Coruña), CITIC Research Center, Elviña, 15071 A Coruña, SpainAn analog joint source-channel coding (JSCC) system designed for the transmission of still images is proposed and its performance is compared to that of two digital alternatives which differ in the source encoding operation: Joint Photographic Experts Group (JPEG) and JPEG without entropy coding (JPEGw/oEC), respectively, both relying on an optimized channel encoder−modulator tandem. Apart from a visual comparison, the figures of merit considered in the assessment are the structural similarity (SSIM) index and the time required to transmit an image through additive white Gaussian noise (AWGN) and Rayleigh channels. This work shows that the proposed analog system exhibits a performance similar to that of the digital scheme based on JPEG compression with a noticeable better visual degradation to the human eye, a lower computational complexity, and a negligible delay. These results confirm the suitability of analog JSCC for the transmission of still images in scenarios with severe constraints on power consumption, computational capabilities, and for real-time applications. For these reasons the proposed system is a good candidate for surveillance systems, low-constrained devices, Internet of things (IoT) applications, etc.https://www.mdpi.com/1424-8220/19/13/2932image codingjoint source-channel codingperformance evaluation |
| spellingShingle | Jose Balsa Tomás Domínguez-Bolaño Óscar Fresnedo José A. García-Naya Luis Castedo Transmission of Still Images Using Low-Complexity Analog Joint Source-Channel Coding Sensors image coding joint source-channel coding performance evaluation |
| title | Transmission of Still Images Using Low-Complexity Analog Joint Source-Channel Coding |
| title_full | Transmission of Still Images Using Low-Complexity Analog Joint Source-Channel Coding |
| title_fullStr | Transmission of Still Images Using Low-Complexity Analog Joint Source-Channel Coding |
| title_full_unstemmed | Transmission of Still Images Using Low-Complexity Analog Joint Source-Channel Coding |
| title_short | Transmission of Still Images Using Low-Complexity Analog Joint Source-Channel Coding |
| title_sort | transmission of still images using low complexity analog joint source channel coding |
| topic | image coding joint source-channel coding performance evaluation |
| url | https://www.mdpi.com/1424-8220/19/13/2932 |
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