5 research outputs found
An Image Zooming Technique Based on Vector Quantization Approximation
[[abstract]]An image zooming method based on vector quantization approximation for magnifying gray-scale and color image by a factor of 2 is proposed. In our proposed method, the unknown pixel values on the image are interpolated by using a vector quantization codebook based on their local information. In comparison of our method with the locally adaptive zooming algorithm published in [S. Battiato, G. Gallo, F. Stanco, A locally adaptive zooming algorithm for digital images, Image and Vision Computing, 20(11) (2002) 805–812.], our experimental results have demonstrated that the image quality of the enlarged image is superior to the method in [S. Battiato, G. Gallo, F. Stanco, A locally adaptive zooming algorithm for digital images, Image and Vision Computing, 20(11) (2002) 805–812.]. Not only is our method simpler to implement by utilizing a table look-up technique on codebook, but also is much easier in translating to color images than that of [S. Battiato, G. Gallo, F. Stanco, A locally adaptive zooming algorithm for digital images, Image and Vision Computing, 20(11) (2002) 805–812.] by replacing an adequate codebook
An Image Zooming Technique Based on Vector Quantization Approximation
[[abstract]]An image zooming method based on vector quantization approximation for magnifying gray-scale and color image by a factor of 2 is proposed. In our proposed method, the unknown pixel values on the image are interpolated by using a vector quantization codebook based on their local information. In comparison of our method with the locally adaptive zooming algorithm published in [S. Battiato, G. Gallo, F. Stanco, A locally adaptive zooming algorithm for digital images, Image and Vision Computing, 20(11) (2002) 805?812.], our experimental results have demonstrated that the image quality of the enlarged image is superior to the method in [S. Battiato, G. Gallo, F. Stanco, A locally adaptive zooming algorithm for digital images, Image and Vision Computing, 20(11) (2002) 805?812.]. Not only is our method simpler to implement by utilizing a table look-up technique on codebook, but also is much easier in translating to color images than that of [S. Battiato, G. Gallo, F. Stanco, A locally adaptive zooming algorithm for digital images, Image and Vision Computing, 20(11) (2002) 805?812.] by replacing an adequate codebook
Estudio y desarrollo de mĂ©todos de zoom para imágenes de gammagrafĂa obtenidas mediante la aplicaciĂłn de meta-yodobenzilguanidina
El presente proyecto trata de profundizar en las técnicas actuales para
proporcionar un zoom digital aplicable a todo tipo de imágenes digitales,
especialmente a imágenes mĂ©dicas como los son las gammagrafĂas.
Este proyecto se encuentra incluido en otro más amplio que tiene por
objeto apoyar a la toma de decisiones por parte de los médicos en el
proceso de diagnĂłstico de neuroblastomas.
En esta memoria se detallan una serie de técnicas interpolatorias no
lineales y se proponen posibles implementaciones, con el objeto de elegir
aquélla que mejores resultados proporcione y que pueda ser incorporada
al proyecto marco, como una funcionalidad más.
En la sección de experimentos, se realizarán diversas pruebas con
cada una de las técnicas que serán evaluadas mediante el uso de ciertos
indicadores para imágenes digitales, de manera que quede justificada
alguna de ellas frente otras para un determinado tipo de imágenes.Cartes Font, J. (2011). Estudio y desarrollo de mĂ©todos de zoom para imágenes de gammagrafĂa obtenidas mediante la aplicaciĂłn de meta-yodobenzilguanidina. http://hdl.handle.net/10251/12011.Archivo delegad