Adaptive Rate Polar Code For DCT-based Digital Image Transmission
Polar code is a recent forward error correction technique that is characterized by its low encoding/decoding complexity and good error performance. In this paper, a complete image transmission system (transmitter and receiver) is proposed to improve the image quality over different types of channels...
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| Veröffentlicht in: | IEEE access 2023-01, Vol.11, p.1-1 |
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| creator | Adel, Mai Ramly, Salwa El Abdelhamid, Bassant |
| description | Polar code is a recent forward error correction technique that is characterized by its low encoding/decoding complexity and good error performance. In this paper, a complete image transmission system (transmitter and receiver) is proposed to improve the image quality over different types of channels such as Gaussian, Rayleigh and Rician channels. The proposed system is based on encoding the most significant quantized Discrete Cosine Transform (DCT) coefficients of the digital image using adaptive rate polar coding, by changing the number of frozen bits depending on the number of significant DCT coefficients that depends on the channel quality. Simulation results reveal that the proposed system achieves better performance compared to the coded digital transmission scheme in terms of the Structural SIMilarity (SSIM) index and the Peak Signal to Noise Ratio (PSNR) for different sizes of images. Moreover, it is not subject to "cliff effect" and exhibits improvement in image quality according to the channel quality. |
| doi_str_mv | 10.1109/ACCESS.2023.3281197 |
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In this paper, a complete image transmission system (transmitter and receiver) is proposed to improve the image quality over different types of channels such as Gaussian, Rayleigh and Rician channels. The proposed system is based on encoding the most significant quantized Discrete Cosine Transform (DCT) coefficients of the digital image using adaptive rate polar coding, by changing the number of frozen bits depending on the number of significant DCT coefficients that depends on the channel quality. Simulation results reveal that the proposed system achieves better performance compared to the coded digital transmission scheme in terms of the Structural SIMilarity (SSIM) index and the Peak Signal to Noise Ratio (PSNR) for different sizes of images. 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In this paper, a complete image transmission system (transmitter and receiver) is proposed to improve the image quality over different types of channels such as Gaussian, Rayleigh and Rician channels. The proposed system is based on encoding the most significant quantized Discrete Cosine Transform (DCT) coefficients of the digital image using adaptive rate polar coding, by changing the number of frozen bits depending on the number of significant DCT coefficients that depends on the channel quality. Simulation results reveal that the proposed system achieves better performance compared to the coded digital transmission scheme in terms of the Structural SIMilarity (SSIM) index and the Peak Signal to Noise Ratio (PSNR) for different sizes of images. Moreover, it is not subject to "cliff effect" and exhibits improvement in image quality according to the channel quality.</description><subject>Adaptive rate</subject><subject>Channels</subject><subject>Cliff effect</subject><subject>Codes</subject><subject>DCT</subject><subject>Digital imaging</subject><subject>Digital transmission</subject><subject>Discrete cosine transform</subject><subject>Discrete cosine transforms</subject><subject>Encoding-Decoding</subject><subject>Error correction</subject><subject>Frozen bits</subject><subject>Image coding</subject><subject>Image communication</subject><subject>Image quality</subject><subject>Image transmission</subject><subject>Parity check codes</subject><subject>Polar code</subject><subject>Polar codes</subject><subject>Signal to noise ratio</subject><subject>Transmitters</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNkE9Lw0AQxYMoKOon0EPAc-r-ySazx5K2WhAUredlNpmULW237qaC397UFOlcZnjM-83wkuSOsxHnTD-Oq2r68TESTMiRFMC5Ls-SK8ELnUkli_OT-TK5jXHF-oJeUuVVMh43uOvcN6Xv2FH65tcY0so3lM58SCfVIrMYqUknbuk6XKfzDS4pXQTcxo2L0fntTXLR4jrS7bFfJ5-z6aJ6zl5en-bV-CWrpdJdpqwFSS3xVnCGOidqrCRFRQ2lapApBAtgc6tAtAXVrdIl5Epzq6EEoeV1Mh-4jceV2QW3wfBjPDrzJ_iwNBg6V6_JYM_VpFjeSJnbkqMkDQJkoQgKUtCzHgbWLvivPcXOrPw-bPv3jQChCibyvOi35LBVBx9joPb_KmfmEL0ZojeH6M0x-t51P7gcEZ04uIScl_IXb_R9NA</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Adel, Mai</creator><creator>Ramly, Salwa El</creator><creator>Abdelhamid, Bassant</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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In this paper, a complete image transmission system (transmitter and receiver) is proposed to improve the image quality over different types of channels such as Gaussian, Rayleigh and Rician channels. The proposed system is based on encoding the most significant quantized Discrete Cosine Transform (DCT) coefficients of the digital image using adaptive rate polar coding, by changing the number of frozen bits depending on the number of significant DCT coefficients that depends on the channel quality. Simulation results reveal that the proposed system achieves better performance compared to the coded digital transmission scheme in terms of the Structural SIMilarity (SSIM) index and the Peak Signal to Noise Ratio (PSNR) for different sizes of images. 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| subjects | Adaptive rate Channels Cliff effect Codes DCT Digital imaging Digital transmission Discrete cosine transform Discrete cosine transforms Encoding-Decoding Error correction Frozen bits Image coding Image communication Image quality Image transmission Parity check codes Polar code Polar codes Signal to noise ratio Transmitters |
| title | Adaptive Rate Polar Code For DCT-based Digital Image Transmission |
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