A
Andrew C. Gallagher
Researcher at Google
Publications - 253
Citations - 9013
Andrew C. Gallagher is an academic researcher from Google. The author has contributed to research in topics: Digital image & Pixel. The author has an hindex of 51, co-authored 250 publications receiving 8616 citations. Previous affiliations of Andrew C. Gallagher include Eastman Kodak Company & OmniVision Technologies.
Papers
More filters
Patent
Method of detecting clipped image pixels
TL;DR: In this article, a method for detecting the clipped pixels of a digital color image is described, which includes the steps of: (a) producing a uniformity map from the digital colour image, where the uniformity maps indicate locations within the digital color images that are substantially uniform; (b) providing a threshold value; and (c) using the uniform map, the threshold value, and the digital image to produce a map indicating the location of clipped pixels within the Digital Color Image.
Patent
Method of processing an image to form an image pyramid
TL;DR: In this paper, a method of processing an image to form an image pyramid having multiple image levels is proposed, where a base level image comprising pixel values at pixel locations arranged in rows and columns is received, and the pixel values of the next level image are interpolated using an interpolation filter at the sample locations.
Patent
Sharpening a digital image in accordance with magnification values
TL;DR: In this article, a method of processing a digital image having pixels to improve the sharpness of a print generated from the digital image including determining a magnification value representing the magnification of a pixel of the digital images on the print based on the number of input digital image pixels and the output number of digital images pixels was proposed.
Patent
Method for enhancing the edge contrast of a digital image
TL;DR: In this article, a method for utilizing a predetermined tone scale conversion to enhance a digital image comprised of a plurality of image pixels, each image pixel characterized by an image value, includes the steps of providing image pixels corresponding to a region of the image; identifying a statistical characteristic of the images in the region; normalizing the tone scale conversions for the statistical characteristic in order to generate a normalized tone scaling conversion; and performing the normalized tone scale transformations on a central pixel of the region to generate an enhanced output pixel.
Patent
Method for adjusting image detail to compensate for an applied tone scale
TL;DR: In this article, the authors proposed a method for modifying the spatial frequency detail of a digital image channel based on the characteristics of the tone scale function, which is based on a tone-scale function.