DjVu Image Format
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The extension .DJVU is associated mainly with the files of the type, DJVU or Deja vu as they are more commonly called. The .DJVU is a modern file format for storing digital data in a lossless compression format. Most often, it is used to store text data and scanned documents. Due to its modern structure, the .DJVU gives better compression ratio and can be used as an alternative to .pdf format for better space efficiency.

The DJVU file is also used for storing digital images and its special layered separation technique to store the data makes its an attractive option for many computer programs.

DJVU file extension is used by compressed image format DjVu developed by AT&T Labs. The format is used fpr storing scanned images (graphics, photos, texts, drawings). DjVu files can use either DJVU or DJV extension.

DJVU format applications

DJVU format was developed chiefly as a means of storing all kinds of scanned documents (mixed documents with text, images, drawings). The format is commonly used for storing scanned ebooks, journals, comicbooks, or even ancient texts. The format allows publishing high-quality scans on the internet.

DJVU format advantages

Although DJVU format stores images in compressed form, the images themselves are high resolution. Compression algorithm used by DJVU allows reducing file size 5 to 10 times more than JPEG or GIF compression is capable of. DJVU format also better handles converting large amounts of text, and is an open format. DJVU is a solid alternative to PDF, and by many considered to be even superior to PDF.

DJVU format technologies

DJVU’s many advantages are the result of technologies used, such as image layer separation of text and background, arithmetic coding, progressive loading, and lossy compression. Format’s file structure is based on Interchange File Format and is composed of several fragments ordered hierarchically. Compression algorithm used by DJVU splits documents into three image layers: a background image, a foreground image, and a mask image. Background and foreground images are compressed using wavelet-based algorithm IW44, and the mask by using JB2 algorithm.

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