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Showing 1 to 5 of 5 for “"image interpolation"”.

  1. Image interpolation and denoising in discrete wavelet transform domain

    Traditionally, processing a compressed image requires decompression first. Following the related manipulations, the processed image is compressed again for storage. To reduce the computational complexity and processing time, manipulating images in the transform domain, which is possible, is an …

    unlv Repository record for Image interpolation and denoising in discrete wavelet transform domain (opens in a new tab)

  2. Astronomical image manipulation in the transform domain

    It is well known that images are usually stored and transmitted in the compressed form to save memory space and I/O bandwidth. Among many image compression schemes, transform coding is a widely used coding method. Traditionally, processing a compressed image requires decompression first. Following …

    unlv Repository record for Astronomical image manipulation in the transform domain (opens in a new tab)

  3. Generalized Constrained Interpolation

    <p>Interpolation is essential in digital image processing, especially magnification. Many different approaches to interpolation specific to magnification have been developed in an effort to overcome the shortcomings of bilinear and bicubic interpolation. One of these approaches, Constraint-Based …

    byu Repository record for Generalized Constrained Interpolation (opens in a new tab)

  4. Interpolación de formas en imágenes usando mordología matemática

    … o regiones que se deban interpolar Abstract Interpolation is an important step in digital image processing applications. The aim of interpolation is to improve the spatial and/or temporal resolution of image data. This work is about image interpolation techniques that use mathematical …

    upm Repository record for Interpolación de formas en imágenes usando mordología matemática (opens in a new tab)