METHOD OF BIFURCATION OF BIT PLATES IN INFRARED IMAGE PROCESSING SYSTEMS
DOI:
https://doi.org/10.18372/2310-5461.66.20325Keywords:
infrared images, infrared image processing, infrared image compression,, wide dynamic range images, bit space, bit planes, bit plane bifurcationAbstract
The article presents an approach to processing infrared images with a wide dynamic range - the bit plane bifurcation method, which provides effective data compression without losing critical temperature information. The relevance of the study is due to the growing role of infrared technologies in the field of technical diagnostics, medicine, security and energy, where traditional compression methods often prove unsuitable due to the loss of diagnostically significant details. Hence, a scientific and applied task has been formed: increasing the efficiency of processing and encoding infrared images. Modern methods of processing infrared images rely on outdated codecs that do not take into account the specifics of infrared images or are closed proprietary technologies that are not available for widespread use. Therefore, the aim of the article is to develop a method of bifurcating bit planes of infrared images to increase the efficiency of their processing and encoding. The proposed method is based on the extraction of high and low bits from a 16-bit image, which allows reducing the bit depth to 8 bits, preserving the main semantic structure in high bits and small details in low bits. The algorithm is mathematically substantiated, its implementation is described, and the results of an experimental study are presented. In particular, it is shown that the use of bifurcation allows increasing the compression ratio by an average of 22% compared to direct compression of a full-bit image, while the increase in the standard deviation remains within limits that do not lead to visually noticeable distortions. The method does not require specialized hardware, has low computational complexity, and is suitable for use in mobile or energy-constrained systems. The results of the study lay the foundation for the development of methods for context-oriented processing and adaptive compression of thermal images.
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