A Novel Data Compression
نویسنده
چکیده
A novel data compression scheme is presented. The method is very suitable for black and white images, and it can generate a compression factor of eight; in general the bitmap is optimized for an arbitary number of colors and not only for unused information contained in a conventional bitmap with 2 bits per pixel. This compression method can be incorporated with other compression methods; it is suitable for other image types and audio. The potential high compression factor is cost effective for both memory and bandwidth requirements. Data compression is increasingly important due to the size and type of information required to be manipulated. There are many ways of compressing data. An often overlooked aspect is to eliminate the redundancy of disk space within the actual byte. Each byte consists of eight digits, and an image sometimes only requires one entry, which is a redundancy of an order of magnitude; in a colored grayscale, an optimistic factor of two in compression is beneficial. Eliminating this redundancy is quite simple. Examine a black and white image with 768x768 pixels when each pixel is associated with a byte. The bit can take values 1 or 0 when the image is monotone, but can range in more values when associated with color or a gray scale. In the color example, there are 256 values contained in the byte, with a fraction of the values unused. This algorithm eliminates the wasteful unused fraction. The entire image could be associated with a single number using a polytopic definition of the image [1]. As an example, consider one row of the image, and specify the image by a base expansion,
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