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Mostrar registro sencillo 2012-11-05T13:16:03Z 2012-11-05T13:16:03Z 2000-10
dc.description.abstract A considerable compression rate can only be achieved by means of algorithms with loss, which means that it is not possible to recover the exact original image. This loss of information may have a direct relation to the loss of quality, as well as cause problems related to reliability depending on the area of the application. The main question to answer is: How do we decide that an image compressed with loss is suitable to be used for a given application? This question is answered by defining a subjective quality assessment and then relating it to objective values in order to find - by means of a statistic analysis of the data - a relationship between quality and compression ratio. In particular, the incidence of the type of histogram and its relation to subjective loss and compression ratio are studied. This paper is related to the Magister Thesis “Análisis del Error en Algoritmos de Transmisión de Imágenes Comprimidas con Pérdida” ("Error Analysis in Transmission Algorithms of Images Compressed with Loss") by Lic. Ramón en
dc.format.extent 7 p. es
dc.language en es
dc.title Quality analysis for coded images with loss en
dc.type Objeto de conferencia es
sedici.creator.person Ramón, Hugo Dionisio es
sedici.creator.person Russo, Claudia Cecilia es
sedici.creator.person De Giusti, Armando Eduardo es
sedici.description.note Área: Procesamiento de Imágenes - Tratamiento de Señales - Computación Gráfica - Visualización es
sedici.subject.materias Ciencias Informáticas es
sedici.subject.keyword JPG en
sedici.subject.keyword subjective model en
sedici.subject.keyword statistics en
sedici.subject.keyword histogram en
sedici.description.fulltext true es Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri 2000-10
sedici.relation.event VI Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review es
sedici.subject.acmcss98 Compression (Coding) es
sedici.subject.acmcss98 Digitization and Image Capture es

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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)