Method of Visual Data Processing in Telecommunication Network Based on JPEG Platform and Arithmetic Coding
DOI:
https://doi.org/10.20535/RADAP.2022.89.21-28Keywords:
arithmetic coding, JPEG platform, RLE, video informationAbstract
Research analysis shows us that the JPEG platform is the most common platform for processing video and photo images. From the standpoint of lossless compression methods in recent years, the method of arithmetic coding is gained popularity. We should note that the family of arithmetic coding during processing operates real and integers with different types of adaptation. The use of integer methods allows us to transmit the code during the encoding process, while the method based on real numbers requires the completion of this process. The arithmetic coding adaptation is the initial data modification, namely the probability of elements occurrence, for each iteration of the coding process. In this case, only the dictionary of values is transmitted in the service information, while for classical arithmetic coding it is necessary to transfer the appearance of each element. Based on these features in this study we propose to use adaptive integer arithmetic coding. The choice of this method is based on that it allows us to transmit code in the encoding process with minimization of service information (dictionary only), unlike other methods. In the course of this study, the scientific and applied problem are solved, which consists in combining (modifying) methods based on the JPEG platform and adaptive integer arithmetic coding in order to ensure the transmission of photo and video information of a certain quality in real time.
We propose to apply two assumptions during image processing: to neglect the single length of a series of repetitions and the last pair after processing by RLE. The proposed method of visual data processing based on the JPEG platform and adaptive integer arithmetic coding allows us to halve the amount of data compared to the result of processing the known method of arithmetic coding without the proposed assumptions. The increase in efficiency is due to the through zigzag scanning of the transformant group and adaptation of the method to the types of transformants by saturation in the 2x2 group with the possibility of reducing the power of the dictionary.
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