Título: STUDY OF FRACTAL COMPRESSION FOR TEXT IMAGES
Autores: Romero, Rodolfo; ESCOM IPN
Montiel, Jesus Yalja; IPN - ESCOM
Fecha: 2012-12-25
Publicador: International journal of computer and electronics research
Fuente:
Tipo: Peer-reviewed Article
Tema: Quadtree algorithm; Fractal; Compression; Text
Image processing
Descripción: In the present article demonstrates a technique for image compression and testing, using fractals. Legible results are obtained within a range of 120 to 180 compression, compared to other methods are obtained high compression ratio; as JPEG. The Quadtree-based fractal compression is a method to change the range block Ri to the domain of a block Di, based on the ratio of allowable error ε, to choose reasonable conversion ratio and reduce the search time information. To measure the quality of image compression there are several objective techniques such as Maximum Signal to Noise Ratio (PSNR) and Structural Similarity Index (SSIM).The PSNR is a metric that measures the level of noise that gets a signal when compared with another, this metric unit is the decibel (dB)
Idioma: Inglés

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