Lossy Hybrid Binary Merge Coding for Image Data Compression

摘要

Image processing applications were drastically increasing over the years. In such a scenario, the fact that, the digital images need huge amounts of disk space seems to be a crippling disadvantage during transmission and storage. So, there arises a need for data compression of images. This study proposed a novel technique called Lossy Hybrid Binary Merge Coding for Lossy compression of images. This method is based on spatial domain of the image and it works under principle of Inter-pixel redundancy reduction. This technique was taken advantage of repeated values in consecutive pixels positions. For a set of repeated consecutive values only one value is retained. The proposed Lossy Hybrid Binary Merge Coding achieved the compression rate more than the compression rate achieved by standard JPEG. This technique was simple in implementation and required no additional memory area. The experimental results of Lossy Hybrid Binary Merge Coding were compared with standard JPEG and it showed that the Binary Merge Coding improved compression rate compared to JPEG. The same algorithm can be extending to colour images. This algorithm can also used for Lossless compression with few modifications.