Performance evaluation of predictors for lossless compression of infrared images with high bit-depth

The requirements for the storage and transmission of image data are rapidly increasing due to rapid developments in technology. The storage and transmission of huge amount of the image data can be expensive. Researches on reducing the cost of storage and transmission and giving an opportunity to new applications keep still popularity. Many image compression schemes perform lossy compression. Lossy compression scheme meets the requirements for many applications. However, the needs for lossless image compression keep necessity for medical, scientific and professional applications. One of the crucial steps used in the lossless image compression is the prediction to remove spatial redundancy. In this paper, a comparative study on the efficiency of predictors mostly used in the lossless image compression has been done for the infrared images with high bit-depth acquired for scientific purposes and experimental results have been presented as well.