• Publications
  • Influence
Adaptive homogeneity-directed demosaicing algorithm
  • K. Hirakawa, T. Parks
  • Medicine, Computer Science
  • IEEE Transactions on Image Processing
  • 1 March 2005
A cost-effective digital camera uses a single-image sensor, applying alternating patterns of red, green, and blue color filters to each pixel location. A way to reconstruct a full three-colorExpand
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  • 46
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Spatio-Spectral Color Filter Array Design for Optimal Image Recovery
In digital imaging applications, data are typically obtained via a spatial subsampling procedure implemented as a color filter array - a physical construction whereby only a single color value isExpand
  • 133
  • 23
  • PDF
Adaptive homogeneity-directed demosaicing algorithm
  • K. Hirakawa, T. Parks
  • Computer Science
  • Proceedings International Conference on Image…
  • 24 November 2003
Most cost-effective digital camera uses a single image sensor, applying alternating patterns of red, green, and blue color filters to each pixel location. Demosaicing algorithm reconstructs a fullExpand
  • 182
  • 16
Color Constancy with Spatio-Spectral Statistics
We introduce an efficient maximum likelihood approach for one part of the color constancy problem: removing from an image the color cast caused by the spectral distribution of the dominating sceneExpand
  • 143
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Joint demosaicing and denoising
The output image of a digital camera is subject to a severe degradation due to noise in the image sensor. This paper proposes a novel technique to combine demosaicing and denoising proceduresExpand
  • 86
  • 9
Image denoising using total least squares
  • K. Hirakawa, T. Parks
  • Computer Science, Mathematics
  • IEEE Transactions on Image Processing
  • 1 September 2006
In this paper, we present a method for removing noise from digital images corrupted with additive, multiplicative, and mixed noise. An image patch from an ideal image is modeled as a linearExpand
  • 113
  • 6
Spatio-Spectral Color Filter Array Design for Enhanced Image Fidelity
  • K. Hirakawa, P. Wolfe
  • Computer Science
  • IEEE International Conference on Image Processing
  • 12 November 2007
In digital imaging applications, data are typically obtained via a spatial subsampling procedure implemented as a color filter array - a physical construction whereby only a single colorExpand
  • 35
  • 5
  • PDF
Blur Processing Using Double Discrete Wavelet Transform
  • Y. Zhang, K. Hirakawa
  • Computer Science
  • IEEE Conference on Computer Vision and Pattern…
  • 23 June 2013
We propose a notion of double discrete wavelet transform (DDWT) that is designed to sparsify the blurred image and the blur kernel simultaneously. DDWT greatly enhances our ability to analyze,Expand
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Color constancy beyond bags of pixels
Estimating the color of a scene illuminant often plays a central role in computational color constancy. While this problem has received significant attention, the methods that exist do not maximallyExpand
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A Framework for wavelet-Based Analysis and Processing of Color Filter Array Images with Applications to Denoising and Demosaicing
This paper presents a new approach to demosaicing of spatially sampled image data observed through a color filter array, in which properties of Smith-Barnwell filterbanks are employed to exploit theExpand
  • 42
  • 2
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