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[Paper] Smooth Gradation Reconstruction from False Contours in Quantized Natural Image
2015
ITE Transactions on Media Technology and Applications
We propose a bit-depth expansion (BDE) method targeting natural images. In the analog part of an imaging system, signal intensity fluctuations occur due to noise (e.g. thermal noise in the image sensor). After that, in the digital part, the intensities are rounded off to limited levels. The latter process, which is quantization, increases the intensity of fluctuation errors caused by stochastic resonance. These errors are viewed as false contour artifacts in the gradation region. Our goal was
doi:10.3169/mta.3.251
fatcat:gla47wpwhbbbhprdpd7zwuze6m