Abstract
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.
Highlights
In recent years, there has been an increase in the use of resource constrained devices which transmit multimedia data such as images or video, specially in the context of the Internet of things (IoT)
Note that due to the different nature of the disturbances added to the image by the analog and digital transmission schemes (i.e., additive white Gaussian noise (AWGN) noise vs. overall loss of details), the perceived quality of the images by the human eye may diverge from the quality indicated by the structural similarity (SSIM) index
An analog joint source-channel coding (JSCC) system designed for the transmission of still images was proposed
Summary
There has been an increase in the use of resource constrained devices which transmit multimedia data such as images or video, specially in the context of the Internet of things (IoT). In many applications these systems require reliable, low-complexity and low-latency wireless transmissions [1]. As captured by digital cameras, are composed of a large amount of data, and must be compressed and protected against noise before transmission. An adequate source encoder is employed to remove the statistical, spatial and perceptual redundancy to obtain an efficient digital representation of the image [6]. There exists a large number of compression methods for still images, Joint Photographic Experts Group (JPEG) is probably the most popular standard
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