Titlebook: Image Analysis and Recognition; 11th International C Aurélio Campilho,Mohamed Kamel Conference proceedings 2014 Springer International Publ

存在主義

Low Light Image Enhancement via Sparse Representationswork proposes a novel approach for enhancing images captured under low illumination conditions based on the mathematical framework of Sparse Representations. In our model, we utilize the sparse representation of low light image patches in an appropriate dictionary to approximate the corresponding da

CIS

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錯(cuò)事

Iterative Sparse Coding for Colorization Based Compressionto extract a good RP(representative pixel) set from the original color image from which the colored image can be reconstructed in the decoder to a sufficient level. In this paper, we propose an iterative sparse coding method for the extraction of the RP set. Observations show that the proposed metho

紋章

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社團(tuán)

Towards a Comprehensive Evaluation of Ultrasound Speckle Reductionut losing the diagnostic information. In this paper, a new intensity and feature preservation evaluation metric for full speckle reduction evaluation is proposed based contrast and feature similarities. A comparison of the despeckling methods is done, using quality metrics and visual interpretation

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