Pixel-position-based lossless image compression algorithm

dc.creatorCABRAL, EDUARDO L.L.
dc.creatorSABUNDJIAN, GAIANE
dc.creatorCONTI, THADEU das N.
dc.date2019
dc.date2020-02-28T18:48:24Z
dc.date2020-02-28T18:48:24Z
dc.date.accessioned2023-09-28T14:14:15Z
dc.date.available2023-09-28T14:14:15Z
dc.identifier2455-4863
dc.identifierhttp://repositorio.ipen.br/handle/123456789/30846
dc.identifier12
dc.identifier5
dc.identifier0000-0001-9544-4509
dc.identifier0000-0001-6632-2692
dc.identifierSem Percentil
dc.identifierSem Percentil CiteScore
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9001073
dc.descriptionIn this paper we present a novel lossless image compression method that is very simple and fast. The method uses linear prediction followed by arithmetic coding. Different prediction functions are used to estimate the intensity of image pixels. Two variants of the prediction algorithm are presented. One variant uses two different prediction functions and the other uses three different prediction functions. The position of the pixel in the image determines which prediction function is used. The method can be applied for images of any size and of high bit-depths. Standard images available in the literature are used to test the method. The compression ratios obtained with the proposed method are compared with the compression ratios obtained with the JPEG-LS and JPEG2000 methods and the results are satisfactory.
dc.format21-30
dc.relationInternational Journal of Innovative Studies in Sciences and Engineering Technology
dc.rightsopenAccess
dc.subjectimages
dc.subjectimage processing
dc.subjectcompression
dc.subjectalgorithms
dc.subjectcomputer graphics
dc.subjectcomputer codes
dc.subjectimage converters
dc.subjectstandardization
dc.subjecttomography
dc.subjectx-ray equipment
dc.subjectultrasonography
dc.subjectoil spills
dc.subjectbiomedical radiography
dc.titlePixel-position-based lossless image compression algorithm
dc.typeArtigo de peri??dico
dc.coverageI


Este ítem pertenece a la siguiente institución