Motorola Corporation

Bei Tang

King F Lee

Robert M Dyas

Barry W Herold

Allyson J Beuhler

Austin Vincent Harton

A method and apparatus for object-of-interest image de-blurring includes functions that determine () an object region of an object-of-interest in an image that may be generated by image capture device (), that determine () a motion vector of the object-of-interest, that determine () a scaling factor, and that generate () a de-blurred object region by processing the object region using a deconvolution filter () formulated from the motion vector and the scaling factor.

Object-of-interest image de-blurring

An electronic device () and a method for character segmentation () includes an image analyzer () that generates individual character images. The image analyzer binarizes () a gray scale image () of a horizontal row of characters by using a general threshold method to generate a first image (). The image analyzer also binarizes () the gray scale image using an edge detection method to generate a second image (). The image analyzer determines () a character row region () of the second image by using horizontal projection analysis. The image analyzer isolates () the character row region of the first image using the character row region of the second image. The image analyzer uses the character row region to generate () individual character images. The electronic device may include an image capture device () and a character recognition program ().

Character segmentation method and apparatus

A method and structure for implementing color image acquisition and processing. Combined and direct interpolation and conversion from a first to a second color space of sensor color data provided to a device capable of receiving and displaying color image data, followed by color correction in the second color space, greatly simplifies acquisition and processing of color image data. Interpolation in the combined interpolation and conversion can optionally be vertex-based interpolation in which color data for virtual pixels for one or more pixels of interest can occur in parallel fashion. Conversion in the combined interpolation and conversion can be performed in accordance with a simplified conversion matrix that does not require the use of multiplier logic to be implemented but that does require compensation during subsequent color correction of the color data, also in the second color space. Vertex-based interpolation may additionally be performed in an image acquisition and processing process that does not combine interpolation with conversion of color image data.

Color data image acquistion and processing

A photodetector () generates an electrical signal that has a value that changes approximately linearly at a rate that is proportional to an amount of light intensity incident on a photodetector since a most recent reset command was received at a reset input of the photodetector. A measurement circuit () generates a comparison state that is based on a comparison of the value of the photodetector signal to a reference signal in response to one of a plurality a sample pulses. A control circuit () generates the plurality of sample pulses at non-uniform time intervals and generates an elapsed time as an accumulation of the non-uniform time intervals occurring from the reset command to a change of the comparison state. In one embodiment, the reciprocal of an accumulated duration of the non-uniform time intervals is a linear function of a number of time intervals after the reset command.

Light sensing pixel sensor and method

A method and apparatus for object-of-interest image capture accomplishes the functions of capturing () a current image, determining () an object region of the object-of-interest in the current image, calculating () a contrast measurement of the object region, and identifying () the current image as having an optimized object region when an iteration measure meets a criterion. The current image is captured using a local exposure value determined from luminance readings of pixels within an object region of an object-of-interest of a previous image.

Object-of-interest image capture

Method, software, and apparatus ( ) for performing rate controlled image compression are provided. A quantization matrix scaling factor that results in compression to a predetermined byte size is determined by first summing the absolute value of the difference of neighboring pixels selected from a plurality of rectangular regions of the image. The sums are then input to a model function that is evaluated to obtain the quantization matrix scaling factor. According to preferred embodiments the model function involves a dot product operation between a vector that includes the sums and a second vector that includes region weights.

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Hoffman Estates, IL, United States of America

Bei Tang