Abstract:
PROBLEM TO BE SOLVED: To provide an adaptive quantization signaling for maintaining the adaptability to an available decoding system. SOLUTION: Previously-unused slots in a Huffman code table associated with a JPEG image file are associated with various quantization matrices (Q matrices) that are used to quantize data blocks of the JPEG image file. Huffman codes associated with the various Q matrices permit the particular Q matrix used to quantize a given data block to be signaled by a decoder as an end-of- block (EOB) code. The EOB codes and the Huffman code table are sent with the JPEG image file. Upon decoding of the image file, a standard JPEG decoder reads each of the EOB codes as a standard JPEG EOB code and does not vary the Q matrix. COPYRIGHT: (C)2003,JPO
Abstract:
PROBLEM TO BE SOLVED: To provide a method for more efficiently performing de-mosaic processing of raw data image and size adjustment. SOLUTION: The method includes a step (302) for receiving an actual image block of a mosaic image, a step (308) for calculating the index of the actual image block according to color data of the actual image block, and a step (318) for generating an image block whose size is adjusted from the actual image block of the mosaic image in response to the index in order to prepare a size-adjusted image of the mosaic image. The generation of the size-adjusted image block includes a step for allocating color information which is selected from the actual image block of the mosaic image to the size-adjusted image block in such a way that the size-adjusted image of the mosaic image becomes a de-mosaic image.
Abstract:
PROBLEM TO BE SOLVED: To provide a method and system for shaping a spatial response of a spatial filter. SOLUTION: A method and system for shaping a spatial response of a spatial filter are provided. The spatial filter includes a number of photodetectors that generate individual signals in a time domain. The individual signals are subsequently divided and grouped to create I and Q channels outputted from the spatial filter. Prior to the formation of the I and Q channels, a window function is used to shape the spatial response of the spatial filter. COPYRIGHT: (C)2006,JPO&NCIPI
Abstract:
PROBLEM TO BE SOLVED: To provide a mosaic reduction method of an image that reduces visibility in a zipper effect and can be mounted without the complication of hardware. SOLUTION: The adaptive mosaic reduction method for interpolating each pixel position is provided by separately considering degree of change (for example, other standards of gradient, Laplacian, or the degree of change) in both of horizontal and vertical directions on at least two color planes. Adaptive mosaic reduction algorithm uses a voting system to decide an interpolation direction at each pixel position. Each color plane votes for horizontality or verticality based on the comparison between vertical and horizontal constituents of the degree of change on the color plane. In one embodiment, the voting is counted according to measurement obtained by the pixel position itself and also from a close pixel. COPYRIGHT: (C)2003,JPO
Abstract:
PROBLEM TO BE SOLVED: To provide a method and system for tracking motion across a surface as in an optical mouse. SOLUTION: There is provided a system, method, and device for tracking motion across a surface 130 by creating an interference pattern 310 by reflecting light 111 from the surface 130. As a result of movement of sensors 301-305 across the surface, there is produced at least one signal pattern 401c, 403c, 405c, 501c, 502c, or 504c corresponding to a detection of a dimension of the interference pattern 310. This detected dimension is associated with an assumed dimensional value to determine a distance traveled by the sensors 301-305. COPYRIGHT: (C)2005,JPO&NCIPI
Abstract:
PROBLEM TO BE SOLVED: To provide an image sensing device for detecting/correcting a bad pixel where memory requirements of buffers are minimized. SOLUTION: A sensor includes an array of photodetectors each generating an output signal of pixel data indicative of incident light intensity. The pixel data are read out from the array one line at a time and stored in a line buffer (116). A bad pixel processor (110) includes a first buffer (104) that stores pixel data obtained from the line buffer (116) for a certain pixel in a currently read out line and pixel signal light data for pixels adjacent to the certain pixel (108). An included second buffer (122) stores features (124) that are indicative of whether the pixels in a previously read out line were identified as bad pixels. Using the information in the first and second buffers, the processor identifies whether the certain pixel is a bad pixel.
Abstract:
PROBLEM TO BE SOLVED: To provide an electronic device provided with an image-based data input system capable of being packaged in a relatively narrow area. SOLUTION: The electronic device is provided with; a window 2 provided with a contact surface 14 having an input region 15; a plurality of indicators 16 which are viewable in the input region 15; an image sensor which is so constituted and arranged that image signals corresponding to images of the input region 15 is generated; and a data input processor 20 which is coupled to the image sensor 18 and is operable to generate input signals on the basis of image signals generated by the image sensor 18 and a mapping between areas of the input region images and locations of the input indicators 16. COPYRIGHT: (C)2004,JPO&NCIPI
Abstract:
PROBLEM TO BE SOLVED: To provide a sensor for accurately detecting and correcting a defective pixel by using a sensor value from the other color plane. SOLUTION: A defective pixel correction (BPC) algorithm installed in an image sensor chip 20 for detecting and correcting a defective pixel 25 in a digital color image sensor is provided. A gray scale 105 of adjacent pixels in at least one color plane other than a color plane of a present pixel, and a sensor value range from adjacent pixels 25 in the same color plane as the present pixel are obtained. When a sensor value 35 of the present pixel is out of a value range of a threshold 125 calculated by using one or more gray scales, the present pixel is determined to be a defective pixel and replaced by using sensor values 30 of adjacent pixels in the same color plane. COPYRIGHT: (C)2004,JPO
Abstract:
PROBLEM TO BE SOLVED: To provide a failure pixel correction algorithm for rectifying and detecting a defective pixel effectively and accurately. SOLUTION: The digital imaging system has a buffer capable of storing at least a part of the sensor values obtained by a pixel for imaging, and representing the relevant sensor value in the first color plane formed by the relevant pixel out of pixels; and a processor capable of receiving the sensor value stored in the buffer, calculating an interpolating sensor in the first color plane of the pixel spatially adjoining to the present pixel by means of the stored sensor value, and determining whether or not the present pixel is defective by utilizing the interpolated sensor value. COPYRIGHT: (C)2004,JPO
Abstract:
PROBLEM TO BE SOLVED: To accurately detect and correct defective pixels in an electronic image sensor. SOLUTION: A digital image sensor comprising an array of pixels (102) and a processor (120) is provided. The array of pixels comprises a current pixel in a first color plane that is configured to produce a current sensor value, a first plurality of pixels in the first color plane that is configured to produce a first plurality of sensor values, and a second plurality of pixels in the second color plane that is configured to produce a second plurality of sensor values. The processor is configured to generate a plurality of estimate values using the first plurality of sensor values and a plurality of intensity ratios associated with the second plurality of sensor values, and the processor is configured to determine whether the current pixel is defective using the plurality of estimate values and the current sensor value. COPYRIGHT: (C)2006,JPO&NCIPI