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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.
Polaris Office is a freemium office suite that runs on platforms such as Android, iOS, Windows and macOS, a product of Korea-based software firm Infraware, Inc. [6] It allows the editing of Microsoft Office file-formats (doc/docx, hwp, ppt/pptx, txt, xls/xlsx) and the viewing of PDF files.
Composite image showing JPG and PNG image compression. Left side of the image is from a low-quality JPEG image, showing lossy artefacts; the right side is from a PNG image. In information technology, lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and partial data ...
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]
The main purpose of pngcrush is to reduce the size of the PNG IDAT data stream by trying various combinations of compression methods and delta filters. It can also be used for various manipulations of PNG images, such as changing the bit depth , removing unwanted ancillary chunks , or adding certain chunks including gAMA, tRNS, iCCP, and ...
Neat Image is an image noise reduction software by ABSoft. It is available for Windows (stand alone, or Photoshop plugin), Mac OS X (stand alone or Aperture or Photoshop plugin) and Linux (stand alone).
Mascot performs mass spectrometry data analysis through a statistical evaluation of matches between observed and projected peptide fragments. [6] MassMatrix: Freeware: MassMatrix is a database search algorithm for tandem mass spectrometric data. It uses a mass accuracy-sensitive, probabilistic scoring model to rank peptide and protein matches ...
More than 50 years ago, MSI was introduced using secondary ion mass spectrometry (SIMS) to study semiconductor surfaces by Castaing and Slodzian. [5] However, it was the pioneering work of Richard Caprioli and colleagues in the late 1990s, demonstrating how matrix-assisted laser desorption/ionization (MALDI) could be applied to visualize large biomolecules (as proteins and lipids) in cells and ...