منابع مشابه
Shot Noise Adaptive Bilateral Filtering
The bilateral filter [1, 2] has an important place in image denoising. It smooths images while preserving edges using means of nonlinear combination of local pixels values. The method formulation and implementation are simple. However the set of the bilateral filter parameters has an important influence on its filtering behavior. They have to be chosen considering the user application. In the c...
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We propose an improvement for range images of the standard bilateral filter consisting in adapting it locally to the distribution of the range noise at each pixel. Introduction In recent years, real-time, high resolution 3D range cameras have become widely affordable. For example, the structured-light Microsoft Kinect is able to deliver 640x480 pixels depth maps at 30 fps and the time-of-flight...
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In this paper, we present a spatially adaptive method to reduce compression artifacts observed in block discrete cosine transform (DCT) based image/video compression standards. The method is based on the bilateral filter, which is very effective in denoising images without smoothing edges. When applied to reduce compression artifacts, the parameters of the bilateral filter should be chosen care...
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We describe a supervised learning procedure for estimating the relation between a set of local image features and the local optimal parameters of an adaptive bilateral filter. A set of two entropy-based features is used to represent the properties of the image at a local scale. Experimental results show that our entropy-based adaptive bilateral filter outperforms other extensions of the bilater...
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Regression models are used in many areas of signal processing, e.g., spectral analysis and speech LPC, where block processing methods have typically been used to estimate the unknown coefficients. Iterative methods for adaptive estimation fall into two categories: the least-mean-square (LMS) algorithm and the recursive-least-squares (RLS) algorithm. The LMS algorithm offers low complexity and s...
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ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 2019
ISSN: 1057-7149,1941-0042
DOI: 10.1109/tip.2018.2871597