A HYBRID APPROACH FOR ERROR CONCEALMENT IN STEREOSCOPIC IMAGES
作者： Matthias Kunter , Thomas Sikora , Sebastian Knorr , Carsten Clemens
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摘要: Error concealment for stereoscopic images receives little attention in research of image processing. While many methods have been proposed monocular images, this paper considers a strategy block loss pairs, utilizing the information associated to fulfill higher quality demand. We present hybrid approach, combining 2D projective transformation and monoscopic error technique. Pixel values from stereo are warped their corresponding positions lost block. To reduce discontinuities at borders, algorithm with low-pass properties is integrated. The depth perception much less affected our approach than using only techniques.
tu-berlin.de 参考文章(8)
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