Abstract: Embodiments provide techniques for enhancing an existing image after image acquisition. These techniques include sub-sampling the original image, identifying and/or deriving local region brightness, and using the local region brightness to enhance the contrast of pixels within these regions in the original image. Sub-sampling is generally used to reduce the number of pixels and corresponding computational load. Local region brightness is localized brightness in an image determined based on the dark and light regions within the image by, for example, using a 2-D Gaussian filter. The use of the local region brightness to enhance the image may be accomplished using a lookup table that may be configured to implement a variety of techniques, for example, contrast overlay, Alpha blending, and the like, for contrast enhancement in the dark and light regions.

Abstract: Systems and methods are provided for correcting red-eye in a digital image. an identification of pixels in a color image where red-eye is to be corrected is accessed. At least a portion of the color image is converted from a color representation to generate a grayscale representation. The color image is adjusted by replacing identified pixels in the color image with corresponding pixels from the grayscale representation to generate an adjusted color image, and the adjusted color image is saved in a computer-readable medium.

Abstract: Embodiments of the present disclosure provide a method for adjusting parameters of an algorithm for enhancing an image. In various embodiments, the method includes automatically analyzing an image to identify at least one image attribute; based on the at least one image attribute, automatically determining a value of at least one parameter for an image processing algorithm; and applying the value of at least one parameter to the image processing algorithm. Other embodiments are also described and claimed.

Abstract: Embodiments provide techniques for enhancing an existing image after image acquisition. These techniques include sub-sampling the original image, identifying and/or deriving local region brightness, and using the local region brightness to enhance the contrast of pixels within these regions in the original image. Sub-sampling is generally used to reduce the number of pixels and corresponding computational load. Local region brightness is localized brightness in an image determined based on the dark and light regions within the image by, for example, using a 2-D Gaussian filter. The use of the local region brightness to enhance the image may be accomplished using a lookup table that may be configured to implement a variety of techniques, for example, contrast overlay, Alpha blending, and the like, for contrast enhancement in the dark and light regions.

Abstract: A printer includes a controller, a printhead operable, in response to at least a first signal received from the controller, to render an image on a print medium, and a piercing device operable, in response to at least a second signal received from the controller, to produce a predetermined pattern of piercings in the print medium.