This paper introduces a new tone mapping algorithm that performs denoising and contrast enhancement for dynamic range mapping. The proposed local TM algorithm compresses the luminance of high dynamic range (HDR) image using luminance compression function and decomposes the compressed luminance of HDR image into multi-scale subbands using the discrete wavelet transform. The decomposed low frequency subband is filtered using a bilateral filter and high frequency subbands are smoothed using soft-thresholding for noise reduction. The filtering is followed by enhancement. The local contrast is enhanced in the dynamic ranges of the filtered subbands. Then the color of the tone mapped image is reproduced using an adaptive saturation control parameter. Finally, the edges are reconstructed in the tone mapped image. Thus the tone-mapped image is generated using the proposed local TM. The effectiveness of the proposed local TM algorithm is realised in simulation results. This stands good for visual quality and local contrast which can be used in various displays with noise reduction and contrast enhancement.

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Bilateral Filter Soft-thresholding Contrast Enhancement High Dynamic Range Noise Reduction Tone Mapping.