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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Vydáno v:IEEE access Ročník 11; s. 56196 - 56213
Hlavní autoři: Adel, Mai, El-Ramly, Salwa H., Abdelhamid, Bassant
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
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
ISSN:2169-3536, 2169-3536
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Abstract 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 depend on the channel quality. Simulation results reveal that the proposed system achieves better performance compared to the coded digital transmission schemes 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.
AbstractList 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 depend on the channel quality. Simulation results reveal that the proposed system achieves better performance compared to the coded digital transmission schemes 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.
Author Adel, Mai
El-Ramly, Salwa H.
Abdelhamid, Bassant
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Snippet Polar code is a recent forward error correction technique that is characterized by its low encoding/decoding complexity and good error performance. In this...
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SubjectTerms 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
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Title Adaptive Rate Polar Code for DCT-Based Digital Image Transmission
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