Reversible Denoising and Lifting Based Color Component Transformation for Lossless Image Compression

نویسنده

  • Roman Starosolski
چکیده

An unwanted side effect of reversible color space transformation, usually being a sequence of lifting steps, is that while removing correlation it contaminates transformed components with noise from other components. To remove correlation without increasing noise, we integrate denoising into the lifting steps and obtain a reversible image component transformation. For JPEG-LS, JPEG2000, and JPEG XR algorithms in a lossless mode, RDgDb color space transformation and a simple denoising filter, we find that the proposed method is especially effective for images in optical resolutions of acquisition devices, while for typical images it may lead to increased bitrates. We also present an efficient estimator of image component transformation effects.

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عنوان ژورنال:
  • CoRR

دوره abs/1508.06106  شماره 

صفحات  -

تاریخ انتشار 2015