Fujitsu Semiconductor Limited

Fujitsu Corporation

Fujitsu Microelectronics Limited

Socionext Inc.

Tomohiro Fukuoka

Masaki Okada

Kiichiro Iga

Kunihiro Ohara

Motohiro Nakai

Yuji Watarai

Kazuhiko Okada

Takeshi Seki

Hiromi Yokoi

Kouichi Igura

Nobuyuki Hattori

An image processing apparatus includes a decoding processor including a decoder configured to decode encoded data of image data of one frame having a plurality of pixels encoded by a variable length coding method and generating decoded data, and a data transfer unit configured to select decoded data in a target partial region in which a predetermined image processing is to be performed as partial image data out of the decoded data inputted from the decoder and transfer the selected data; and an image processor configured to perform the given image processing on the partial image data selected in the data transfer unit and store the image-processed partial image data in a storage device.

Image processing apparatus, imaging apparatus, and image processing method

An image processing system is disclosed that includes a buffer unit configured to store a predetermined pixel and peripheral pixels neighboring the predetermined pixel in image data in a first direction and a second direction perpendicular to the first direction; and a first edge-detecting circuit configured to calculate a maximum value and a minimum value of a set of pixels selected from the peripheral pixels that have the same color as the predetermined pixel to calculate a difference value between the maximum value and the minimum value.

Image processing system that removes noise contained in image data

An image processing device for use with a storage circuit processes image data for a frame formed by a plurality of pixels. The image processing device includes a first functional macro performing first image processing on the image data, generating first processed image data, and temporarily storing the first processed image in a predetermined region of the storage circuit. A second functional macro performs second image processing following the first image processing. The second functional macro reads the first processed image data from the predetermined region of the storage circuit, performs the second image processing on the first processed image data, and generates second processed image data. A monitor circuit, arranged in the first or second functional macro, monitors a frame processed by the other one of the functional macros and a number of a data line in the frame that is being processed.

Image processing device and method

A circuit and method for processing an image to correct the pixel value of a sub-pixel included in color data to reduce color differences. The image processing circuit includes a plurality of defect determination circuits respectively corresponding to a plurality of sub-pixels (colors). Each defect determination circuit determines whether or not the corresponding sub-pixel, or first sub-pixel, includes a defect and generates a determination signal. The defect determination circuits provide each of a plurality of correction circuits respectively corresponding to a plurality of sub-pixels (colors) with the determination signals. Each correction circuit generates a corrected value for the corresponding first sub-pixel when at least one of the determination signal is indicative of a defect.

Image processing circuit and image processing method

An image processing apparatus and an image processing method for amplifying an image signal are provided without reducing an image size and without lowering a sense of resolution. An edge-direction detecting arithmetic section () detects an edge minimum direction from extracted Bayer data (BAY). An assigning arithmetic section () assigns a coefficient in which weighting is applied in the edge minimum direction of the extracted Bayer data (BAY) at a higher distribution ratio than other directions to a spatial filter kernel. In other words, the coefficient of the spatial filter kernel is changed in accordance with the edge minimum direction. A pixel adding arithmetic section () performs a sensitization process of extracted Bayer data (BAY). Therefore, it becomes possible to selectively perform a low-pass filtering process in the edge minimum direction. As a result, a sense of resolution can be prevented from being lost during the low-pass filtering process, and the sharpness of the outline of an image can be maintained.

Image processing apparatus and image processing method

A format conversion circuit converts RGB data to YCbCr data. A one-dimensional compression circuit performs one-dimensional compression process on the YCbCr data to generate one-dimension compression image data and provides the one-dimension compression image data to a base band LSI. The one-dimensional compression circuit includes a memory area that is relatively small but sufficient for holding several bytes of data subject to the compression process.

Image processor of imaging apparatus

An object of the present invention is to provide an image data processing circuit and an image data processing method capable of determining a reference signal level corresponding to black in an image with high precision by suppressing occurrence of line dependency and the like in a dark current component signal included in image data output from a solid state image pickup device. A reference dark current component data holding unit selects a reference line from a solid state image pickup device and holds a dark current component of the reference line as a head line average value. To a subtraction circuit, dark current component data and effective pixel data is sequentially input on the line unit basis. A differential circuit obtains, as a detection value, a change amount with respect to the head line average value, of the dark current component data included in a preceding line. The subtraction circuit subtracts the detection value from the dark current component data and the effective pixel data entered.

Image data processing circuit and image data processing method

An object is to provide an image processing circuit and an image processing method which can use various technologies for a bayer array CCD even when an RGB independent array CCD is used, and can accommodate for the bayer array CCD. A first matrix acquiring circuitG acquires an R signal for each basic matrix, and a first averaging circuitG outputs an average value AveCHof the R signal. Similarly, a second matrix acquiring circuitG acquires a G signal, and a second averaging circuitG outputs an average value AveCHof the G signal. Further, similarly, a third matrix acquiring circuitG acquires a B signal, and a third averaging circuitG outputs an average value AveCHof the B signal. A data array conversion circuitG converts the average values AveCHthrough AveCHinto a conversion matrix of two pixels&#xd7;two pixels in bayer array. The conversion matrix is detected by a detection circuitfor bayer array.

The present invention relates to an image recorder including a selector circuit. Image data output from the image recorder, or output data of an encoder, is format converted in a format conversion circuit, and provided to a selector circuit arranged in a stage either preceding or following a pre-process circuit. The selector circuit selects one of input data from a CCD and input data from the format conversion circuit and provides the selected input data to the pre-process circuit. The output data of the encoder is then fed back. This configures a pseudo imaging system.

Image recorder

An image data encoding apparatus performs a two-step process to expand and compress digital image data. The apparatus includes a transform unit for performing orthogonal transform of the image data in a block-by-block manner and generating transform coefficient data. In the first step of the encoding step, a quantizer quantizes the transform coefficient data using a first quantization coefficient to generate first code data. A coefficient operation unit receives the first code data and computes a second quantization coefficient for determining an optimal compression rate of the image data. In the second step of the encoding process, the quantizer receives the second quantization coefficient and quantizes the transform coefficient data to generate second code data. The transform coefficient data is stored in a memory. By optimally compressing the image data, a high image data compression rate is achieved, which allows a greater number of compressed images to be stored. Also, by pipelining the encoding and decoding processes, image processing time is decreased.

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Kasugai, Japan

Tomohiro Fukuoka