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In this paper, we propose retinex-based perceptual contrast enhancement in images using luminance adaptation. We use the retinex theory to decompose an image into illumination and reflectance layers, and adopt luminance adaptation to handle the illumination layer which causes detail loss. First, we obtain the illumination layer using adaptive Gaussian filtering to remove halo artifacts. Then, we adaptively...
Recently, image denoising using the wavelet transform has been attracting much attention. Wavelet based approach provides a particularly useful method for image denoising when the preservation of image features in the scene is of importance. In this paper, we propose a novel denoising method for removing additive noise present in the underwater images. In addition to scattering and absorption effects,...
We propose an effective and robust method to enhance the color image under low or non-uniform lighting conditions that models global and local adaptation of the human visual system. The main idea is that we preserve the discontinuities of the local luminance with combined most significant bit and an adaptive smoothing mask. The local contrast enhancement adjusts the intensity of each pixel based on...
At present aimed at the low contrast and dark image due to the impact of uneven illumination, the paper proposes a multi-dimensional multi-scale image processing algorithm which is based on multi-scale Retinex theory and combined a conduction function constructed. The simulation results show that the effect of image processing algorithm is much better than the classical image processing methods such...
This paper describes an efficient image enhancement method based on the multi-scale retinex (MSR) theory for applying to a motion picture pre-processing. The proposed method uses a multi-rate x-y separable Gaussian filter with a polyphase structure and conducts illumination domain MSR composition. Therefore, The processing amount is drastically reduced to 4-order less than that of original MSR. As...
We address the problem of contrast enhancement for color images. Methods directly derived from gray-level enhancement such as histogram equalization produce significant artifacts, including severe color shifts. Other enhancement techniques that are derived from the Retinex theory may suffer from strong `halo' effects. Our method to enhance images is inspired from the Retinex theory and tries to mimic...
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