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The size of a book is generally measured by the height against the width of a leaf, or sometimes the height and width of its cover. [2] A series of terms is commonly used by libraries and publishers for the general sizes of modern books, ranging from folio (the largest), to quarto (smaller) and octavo (still smaller).
This is a project to replace modern book covers used to illustrate articles about books in the public domain.These images are not really acceptable under the "replaceable" clause of our fair use policy, [1] since the books' original covers, title pages, etc. would be free.
The resolution of 960H depends on whether the equipment is PAL or NTSC based: 960H represents 960 x 576 (PAL) or 960 x 480 (NTSC) pixels. [29] 960H represents an increase in pixels of some 30% over standard D1 resolution, which is 720 x 576 pixels (PAL), or 720 x 480 pixels (NTSC). The increased resolution over D1 comes as a result of a longer ...
The Book Cover Archive "Decorated Publishers Bindings-Grand Valley State University Archives and Special Collections". Archived from the original on 2013-01-06. – containing photographs of decorated publisher bindings from the 1870s to 1930. Historical book cover design gallery (archived 10 January 2007)
Original file (SVG file, nominally 512 × 300 pixels, file size: 9 KB) This is a file from the Wikimedia Commons . Information from its description page there is shown below.
This image is of book cover(s), and the copyright for it is most likely owned either by the artist who created the cover(s) or the publisher of the book(s). It is believed that the use of low-resolution images of book covers to illustrate an article discussing the book in question
Book design is the art of incorporating the content, style, format, design, and sequence of the various components and elements of a book into a coherent unit. In the words of renowned typographer Jan Tschichold (1902–1974), book design, "though largely forgotten today, [relies upon] methods and rules upon which it is impossible to improve ...
High-resolution raster grids contain a large number of pixels, and thus consume a large amount of memory. This has led to multiple approaches to compressing the data volume into smaller files. The most common strategy is to look for patterns or trends in the pixel values, then store a parameterized form of the pattern instead of the original data.