Morpho Inc. | Date: 2014-02-12
An object detection apparatus that detects an object to be detected captured in a determination image according to a feature amount of the object to be detected preliminarily learned by the use of a learning image, the object detection apparatus including a detector
Morpho Inc. | Date: 2014-08-27
Some implementations may provide a computer-implemented method for validating a digital document, the method including: receiving, at a computing device, the digital document comprising at least two digital watermarks, the digital document issued by a central entity; retrieving a first digital watermark from the digital document, the first digital watermark visually presented at a first time point; retrieving a second digital watermark from the digital document, the second digital watermark visually presented at a second time point, the second digital watermark being different from the first digital watermark and the second time point being different from the first time point; and reading the digital document based on the retrieved first and second digital watermarks.
Morpho Inc. | Date: 2015-01-28
The present disclosure is to generate a high-quality image by correcting a predetermined correction target image based on a plurality of input images. In an image processing device
Morpho Inc. | Date: 2015-09-09
An image composition device composites a no-flash image including a subject captured under ambient light and a flash image including the subject captured by emitting flash light to generate a composite image including the subject. The image composition device includes an input unit that enables the no-flash image and the flash image to be input, a correction unit that corrects the no-flash image and the flash image input from the input unit, and a composition unit that composites the no-flash image and the flash image output from the correction unit to generate a composite image. The correction unit corrects a color temperature of the no-flash image.
Morpho Inc. | Date: 2015-04-17
The image processing device performs noise removal processing for an input image. The image processing device comprises a filter setting unit configured to set first and second filter factors by using a first target pixel value of a noise processing target pixel to be targeted to the processing and a reference pixel value of a plurality of reference pixels surrounding the noise processing target pixel and a noise removal unit configured to calculate a corrected pixel value by sequentially adding a luminance component of the reference pixel value weighted with the first filter factor and sequentially adding a chroma component of the reference pixel value weighted with the second filter factor, and remove noise of the noise processing target pixel by using the corrected pixel value. The input image has pixel values according to Bayer pattern format.