A Proposed for Lossless Compression of Images for Hardware Implementation
Hiroki TERASAKI, Takashi SUZUKI, Tomoaki KIMURA · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences · 2025
There are two types of image compression methods which are lossy compression and lossless compression. However, lossy compression has a problem of missing information despite its high compression efficiency. In contrast, lossless compression has a compression efficiency of about 40% at maximum, on there hand is used for data distribution because it can restore the original information. Lossless compression methods include dictionary methods that calculate the frequency of occurrence of the entire data and methods that use data conversion and encoding. However, all of these methods have the problem that the conversion process, encoding, and dictionary creation are time-consuming. In addition, when implemented in hardware, the logic circuits become complex. This paper proposes a new lossless compression method that optimizes the code length according to the data appearance interval. We have confirmed that the proposed method has a compression ratio equivalent to that of conventional lossless compression methods, and that it has a simple hardware configuration.