Image compression performance comparison of RLE and LZV algorithms for effective big data management: A case study

Authors : Şükrü Mustafa KAYA, Murat Aksel AKÇAY

Pages : 149-160

View : 13 | Download : 9

Publication Date : 2023-04-19

Article Type : Research Paper

Abstract :Due to the rapid increase in digitization, the need for data storage in digital systems and network systems is increasing. As important as fixtures for public institutions and the private sector, It is vital that digital data is stored and backed up in a healthy and secure manner. At the same time, storing data on social media and similar digital platforms is becoming a necessity. As the need for data storage becomes a problem, different solutions are sought and smaller data storage possibilities are preferred. Data compression algorithms also serve this purpose in a sense. The main purpose of the studies in this field is to obtain less voluminous data by using compression methods from the raw data produced, to narrow the area covered by the data without destroying its original state, and to create data sets with low storage costs. There are many studies in the literature for this purpose. In this study, researches on the subject are carried out and different compression algorithms such as LZW, RLE are discussed. In addition, image files in different formats are compared based on their size, and image compression performances are tested based on the space occupied by image compression algorithms in memory.
Keywords : Image Compression, Image Processing, Big Data Management, LZW, RLE