Journal of Xidian University

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New COPLIP model and its image enhancement algorithm

FENG Yuying;WANG Junping;MA Shuliang;LI Chao;WU Yao   

  1. (School of Telecommunications Engineering, Xidian Univ., Xi'an 710071, China)
  • Received:2016-12-02 Online:2018-02-20 Published:2018-03-23

Abstract:

This paper proposes a new model of color parameterized logarithmic image processing (COPLIP), in view of the existing logarithmic bottleneck in the field of the color image processing model, extending the parameters of the logarithmic model to color images. The color tonal function of color images, operations of addition, multiplication and invertion and the concept of fundamental homomorphism function are defined. In order to verify the validity of the COPLIP model, this paper designs an image enhancement algorithm based on the model with a good effect. Experiments show that the new model proposed in this paper can not only match the human visual model, but also select more parameters to get the interested parts in the image.

Key words: logarithmic model, color parameterized logarithmic image processing(COPLIP), color images, image enhancement