Abstract:

Document Image is a kind of image which is used widely in our life, while it is different from the general images and texts, its local pixels change quickly and it has abundant high frequency, so that it is difficult to get a higher compression rate with the general compression methods. Using general compression methods to compress document images has poor performance because the particularity of the document image is not considered. According to the characteristics of Document Image, the method of Block Matching is used to get a much higher compression rate than the general compression methods which eliminate the redundancy via two dimensions. We first split a document image with a specific method and then classify and encode the image blocks. We describe the method of Block Matching in detail and analyze the performance, and then we show the result of simulation.

Key words: document image;block matching;lossless compression