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Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic data compression methods which are used for other digital data.
Microsoft OneNote users can sync one or more of their notebooks using OneDrive. Once a notebook is selected for sharing, OneDrive copies the notebook from the user's computer to OneDrive, and that online copy then becomes the original for all future changes. The originating copy remains on the user's hard drive but is no longer updated by OneNote.
You can drag and drop files into OneDrive by locating and selecting them in Windows' File Explorer and moving them to the OneDrive folder.
Commonly done by calculating and storing hash function digests of files to detect if two files with different names, edit dates, etc., have identical contents. Programs which do not support it, will behave as if the originally-named file/directory has been deleted and the newly named file/directory is new and transmit the "new" file again.
Cloud storage offers a convenient way to back up important files and photos, and even to maximize your hard drive space to store files you really need, rather than those you only access once in a...
This is a comparison of notable file hosting services that are currently active. File hosting services are a particular kind of online file storage; however, various products that are designed for online file storage may not have features or characteristics that others designed for sharing files have.
Composite image showing JPG and PNG image compression. Left side of the image is from a JPEG image, showing lossy artefacts; the right side is from a PNG image. In the late 1980s, digital images became more common, and standards for lossless image compression emerged. In the early 1990s, lossy compression methods began to be widely used. [14]
While data reduction (compression, be it lossy or lossless) is a main goal of transform coding, it also allows other goals: one may represent data more accurately for the original amount of space [5] – for example, in principle, if one starts with an analog or high-resolution digital master, an MP3 file of a given size should provide a better ...