JP2006148862A5 - - Google Patents

Claims (10)

A high-resolution image sensor,
A computer network interface for transmission of image data generated by the image sensor of the off-state camera;
A multi-stage pipelined digital image processor capable of processing , decimating and compressing image data at the output rate of the image sensor;
The image processor comprises an image processing pipeline formed by multiple separate stages, most of the stages performing different image processing operations separately, each stage having an output latch or buffer and other Receives input data from the output latches or buffers of one or more stages, image data propagates from stage to stage, and each stage parallels and synchronizes with most other stages performing their respective operations A network camera that performs operations on data. A microprocessor that initializes the pipeline , communicates with a pipeline measurement engine , sets the pipeline registers for controlling data flow through a pipeline multiplexer , automatic white balance, automatic exposure The network camera according to claim 1 , wherein the network camera is configured to set pipeline parameters used in the gain control operation. The microprocessor is configured to process statistics accumulated by the measurement engine of the image processing pipeline to calculate exposure time and gain settings (AE) and automatic white balance (AWB) parameters. 2. The network camera according to 2. The microprocessor is configured to support network communication with an external camera operator, and the microprocessor communicates with the camera MAC to interpret incoming network packets and form a network packet header. 3. The network of claim 2, wherein the microprocessor utilizes an output logic of an image processing pipeline for partial packet checksum operation and loading of image data in a data field of an outgoing network packet. camera. The image processing pipeline comprises stages configured to perform color interpolation, image sharpening, color separation, gamma correction and color space conversion, wherein the color interpolation converts an image of one color per pixel to 3 per pixel. Configured to convert to a color image, the color interpolation is configured to perform multiplication of red, green and blue (RGB) pixel components by a 3 × 3 color correction matrix, and the image sharpening is Configured to apply a two-dimensional high-pass filter to the image, wherein the color space conversion is configured to convert color components of the image into YUV or YCrCb as input to an image compression stage of the image processing pipeline. The network camera according to claim 1. The measurement engine, network camera according to claim 2 in which the means for transmitting the statistical to the microprocessor is provided.   The image processing pipeline includes a stage configured to perform two-dimensional pixel defect correction, compensation for image distortion introduced by an optical system, color saturation control, and image histogram equalization. The listed network camera. The image processing pipeline, wherein the two-dimensional pixel defect correction, defective pixel, the network camera according to claim 7 which is configured to obtain replace in one of the non-defective pixels of the pixels surrounding the defective pixel directly . For all pixels, the luminance value of the current pixel processed at that time is compared with the luminance values of the eight pixels (surrounding pixels) that directly surround the current pixel with the same color, and the current pixel is If it has a luminance value greater than or less than the luminance value, the replacement is performed, and the replacement is performed by replacing all color components of the current pixel with corresponding color components of the replacement pixel, and the replacement pixel. wherein one of the peripheral pixels, the replaced pixels network camera according to claim 8 having the smallest different luminance values the luminance value and the magnitude of the current pixel. The image compression is based on JPEG compression, and the image processing pipeline performs minimally coded unit (MCU) formation, forward discrete cosine transformation, zigzag transformation, quantization, and entropy coding. The network camera of claim 1, comprising a stage configured to perform.