R. Potharlanka’s research while affiliated with University of California, Davis and other places

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Publications (4)


Perceptually transparent coding of still images
  • Article

May 1992

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7 Reads

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1 Citation

IEICE Transactions on Communications

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Reed TR

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Algazi VR

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[...]

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Potharlanka R

The encoding of high quality and super high definition images requires new approaches to the coding problem. The nature of such images and the applications in which they are used prohibits the introduction of perceptible degradation by the coding process. In this paper, we discuss techniques for the perceptually transparent coding of images. Although technically lossy methods, images encoded and reconstructed using these techniques appear identical to the original images. The reconstructed images can be postprocessed (e.g., enhanced via anisotropic filtering), due to the absence of structured errors, commonly introduced by conventional lossy methods. The compression, ratios obtained are substantially higher than those achieved using lossless means.




Directional interpolation of images based on visual properties and rank order filtering
  • Conference Paper
  • Full-text available

May 1991

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494 Reads

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83 Citations

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

The goal of this research is to develop interpolation techniques which preserve or enhance the local structure critical to image quality. Preliminary results are presented which exploit either the properties of vision or the properties of the image in order to achieve the goals. Directional image interpolation is considered which is based on a local analysis of the spatial image structure. The extension of techniques for the design of linear filters based on properties of human perception reported previously to enhance the perceived quality of interpolated images is considered

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Citations (1)


... More complex interpolation methods have been proposed to generate higher-quality images than conventional interpolation methods. One of the methods is the directional interpolation of images based on visual properties and rank order filtering [6]. In this method, a gradient filter is applied to detect edges, corners, and streaks such that the interpolation does not cause incorrect restoration. ...

Reference:

Image Upscaling with Deep Machine Learning for Energy-Efficient Data Communications
Directional interpolation of images based on visual properties and rank order filtering

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on