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This paper proposes a surround suppression variational Retinex enhancement algorithm for image enhancement of non-uniform illumination images, which not only enhances the contrast of the image but also preserves the color constancy.
We present a resolution enhancement algorithm for the asymmetric stereoscopic video.
In this paper, a speech enhancement algorithm for dual-microphone mobile phones is improved.
Lately, an automatic image enhancement algorithm for low dynamic range images is introduced by Wu [1].
In this paper, a novel image enhancement algorithm for non-uniform illumination images is proposed.
A multimicrophone speech enhancement algorithm for binaural hearing aids that preserves interaural time delays was proposed recently.
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Papadopoulos et al. [4] compared five image enhancement algorithms for improving MC cluster detection in mammography.
For testing the results, we select the output of three enhancement algorithms for performing fusion, i.e. the HE method, CLAHE and the imadjust function.
We compare PNAE with NDNE and SDRCLCE both quantitatively and visually with LIPC and HIPC images because these two popular algorithms are more effective than many commonly used enhancement algorithms for LIPC and HIPC images and the facts were shown in [1, 6].
To get the full resolution video, the resolution enhancement algorithm of the left view for asymmetric resolution framework is achieved with two steps: synchronized frames enhancement by disparity estimation and disparity compensation and non-synchronized frames enhancement by video super-resolution.
The authors also developed a similar but efficient nonlinear image enhancement algorithm to enhance the image quality for improving the performance of face detection [13].
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