Systematization of Technologies of Compression of Images in Systems of Polygraphic Reproduction

• Main Authors: Дмитро Володимирович Афанасьєв, Ярослав Володимирович Зоренко
• Format: Article
• Language: English
• Published: Igor Sikorsky Kyiv Polytechnic Institute 2019-04-01
• Series: Технологія і техніка друкарства
• Subjects: декодування; компресія; кодування; якість зображення; стиснення з втратою інформації; стиснення без втрати інформації; lzw; tiff; rle; jpeg
• Online Access: http://ttdruk.vpi.kpi.ua/article/view/166144

This work investigate the popular data compression techniques, which can be used to reduce the size of graphic image formats in printing reproduction systems. The modern printing production process is characterized by a high degree of automation and computerization, which is characterized by a large dependence on the productivity and efficiency of the desktop publishing system and the capacity of information exchange networks. Therefore, the use of data compression methods for digital images can reduce the total amount of data for illustrative original and increase the efficiency of the printing reproduction system. The analysis of previous studies on compression technologies for various areas: prepress printing processes, digital photography, video processing, various multimedia and telecommunication technologies. The main generalizations concern the consideration of lossless and lossy methods of data compression, which differ in coding algorithms. Based on the conducted research the systematization of basic image compression technologies in printing reproduction systems has been developed. The present systematization different in the main features: data compression methods, coding algorithms, image classes, compression value and image quality after coding. The basic encoding algorithms for compressing digital images RLE, JBIG, CCITT Group, LZW, Huffman, Wavelet (recursive), fractal and JPEG. The features of the data compression process according to Lossy JPEG (lossy) and Lossless JPEG2000 (lossless) algorithms are analyzed. Possible criteria for determining the efficiency and quality of image compression using various coding algorithms, which can be used for practical comparison of various compression techniques, are defined.