Image compression, a vital digital technology technique, facilitates the efficient storage and transmission of images by reducing the image file size without considerable impact on its quality. This process utilizes various methods including lossy and lossless techniques, transform coding, color quantization, among others. Tracing back to the 1940s, the evolution of image compression has seen significant milestones like the inception of the Discrete Cosine Transform in 1973 and the development of JPEG in 1992. Progressive compression techniques are also employed, enhancing user experience by enabling images to load progressively. The sphere of image compression also tackles issues like JPEG copy protection to avert unauthorized usage or modification of images. Additionally, there are numerous standards in image and other data compression types, for instance, DEFLATE and JPEG2000 for images, H.261, H.262, H.263 for video, and G.711, G.726, G.729 for audio, which are instrumental in guaranteeing interoperabilidad[1].
This article includes a list of general references, but it lacks sufficient corresponding citas en línea. (April 2010) |
Compresión de imágenes is a type of data compression applied to imágenes digitales, to reduce their cost for storage o transmission. Algorithms may take advantage of visual perception y el estadística properties of image data to provide superior results compared with generic data compression methods which are used for other digital data.
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