PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal
نویسندگان
چکیده
منابع مشابه
Detail preserving impulsive noise removal
Most image processing applications require noise elimination. For example, in applications where derivative operators are applied, any noise in the image can result in serious errors. Impulsive noise appears as a sprinkle of dark and bright spots. Transmission errors, corrupted pixel elements in the camera sensors, or faulty memory locations can cause impulsive noise. Linear filters fail to sup...
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It is imperative to remove impulse noise corrupted pixels in images, in order to facilitate the subsequent processing such as image analysis, segmentation, pattern recognition etc. Many linear and non linear filtering techniques have been proposed earlier to remove impulse noise, however the removal of impulse noise is often accomplished at the expense of blurred and distorted features of edges...
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Impulsive noise appears as a sprinkle of dark and bright spots. Linear filters fail to suppress impulsive noise. Thus, non-linear filters have been proposed. The median filter works on all image pixels and thus destroys fine details. Alternatively, the peak-and-valley filter identifies noisy pixels and then replaces their values with the minimum or maximum value of their neighbors depending on ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2021
ISSN: 0162-8828,2160-9292,1939-3539
DOI: 10.1109/tpami.2021.3083484