Implementation and optimization of the algorithm of automatic color enhancement in digital images

Juan Sebastian Romero, Luis Miguel Procel, Lionel Trojman, Damien Verdier

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

8 Citas (Scopus)

Resumen

This paper studies the implementation of an algorithm to enhance the color of an image by considering global and local effects. The implementation is done on Matlab((and also on a FPGA using VHDL. The algorithm is called ACE (automatic color equalization). The paper presents the optimization of the algorithm using a subset or window. The algorithm performs the color enhancement automatically by equalizing the colors and improving the image. The results show an image with more contrast, higher number of details and visually better. Indeed, ACE maximizes the information of the image. The optimization of the algorithm reduces the complexity of the original one. Additionally, the VHDL implementation is quite faster than Matlab's.

Idioma originalInglés
Título de la publicación alojada2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1-6
Número de páginas6
ISBN (versión digital)9781538608197
DOI
EstadoPublicada - 1 jul. 2017
Evento2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017 - Ixtapa, Guerrero, México
Duración: 8 nov. 201710 nov. 2017

Serie de la publicación

Nombre2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017
Volumen2018-January

Conferencia

Conferencia2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017
País/TerritorioMéxico
CiudadIxtapa, Guerrero
Período8/11/1710/11/17

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