Kabushiki Kaisha Toshiba

Toshiba Electronic Devices & Storage Corporation

Yoshiharu Uetani

Tadahiro Oku

Tomoo Yamakage

Hideyuki Ueno

Tadaaki Masuda

Toshinori Odaka

Yoshihiro Kikuchi

Noboru Yamaguchi

Yoshimitsu Shimojo

Yukio Kamatani

Tsuguhiro Hirose

Mitsunori Omokawa

Naoyuki Kai

Masataka Moteki

Masami Ashino

Yohei Kojima

Certain embodiments provide an image processing apparatus including an image processing circuit configured to perform image processing on continuously captured image data frame by frame, a failure diagnosis processing circuit configured to diagnose a failure of the image processing circuit, and a failure diagnosis control circuit configured to control whether to perform failure diagnosis at an arbitrary frame.

Image processing apparatus and failure diagnosis control method

An image processing apparatus of an embodiment is an image processing apparatus including a first image processing section configured to perform image processing for frames which are designated as processing target frames, a failure diagnosis processing section configured to perform failure diagnosis of the first image processing section at each frame period, and a failure diagnosis control section configured to control execution of the failure diagnosis processing section. The failure diagnosis control section includes a signal selecting section that gives notice of a failure diagnosis permission state which is a state where the first image processing section is capable of executing failure diagnosis. The signal selecting section outputs a failure diagnosis start permission signal at a time point of receiving a pseudo image processing completion signal from a failure diagnosis processing start timing generating section if the input frame is a processing non-target frame.

Image processing apparatus and failure detection method for image processing apparatus

An image processing apparatus according to an embodiment includes an arranger, an image processor, an evaluation value calculator, and an abnormality detector. The arranger arranges a test data sequence in a blanking period of video data including an image data region in which image data is arranged and the blanking period in which the image data is not arranged. The image processor applies image processing to the test data sequence arranged in the video data and the image data. The evaluation value calculator calculates an evaluation value based on an image processing result of the test data sequence in the video data. The abnormality detector outputs a signal indicating an abnormality when the evaluation value does not fluctuate according to the predetermined order.

Image processor and image processing method

A processing device includes generation circuitry, storage circuitry, and interpolation circuitry. The generation circuitry generates a first index based on a numerical value of a high-order predetermined number of digits. The converted value of the reference input value corresponding to each index obtained in the generation circuitry is beforehand stored as a look-up table in the storage circuitry. The interpolation circuitry acquires the first converted value corresponding to the first index using the look-up table. And the interpolation circuitry computes the second index that adjoins the first index by carrying out increment or decrement of the first index. Furthermore, the interpolation circuitry acquires the second converted value corresponding to the second index using the look-up table of the storage circuitry. And the interpolation circuitry computes the converted value of the input value by linearity interpolation based on the shift amount from the reference input value of the first index.

Processing device for performing gamma correction

An imaging device for tracking moving objects includes an image output device outputting first and second images that include a moving object to be tracked. A memory stores image data from the image output device. An image processing device includes local storage and performs a block matching processing comprising evaluating a first block in the first image, dividing the second image into multiple regions, storing image data for a divided region in the local storage unit, determining similarity of the first block to blocks in each of the divided regions in turn, and then determining the similarity of the first and second images according to results obtained for each of the divided regions.

Image processing device and image processing program

An image decoding apparatus obtains the prediction error or a restored image of the encoding object image by inverse processing of the encoding processing of encoded image data encoded by motion compensation predictive coding, in which a restored image is obtained by adding the prediction error and a reference image, a reduced size image of the restored image is generated and stored along with the restored image; wherein, when an image is encoded by an encoding mode that uses reference pixels that include two times or more number of pixels of a region of a predetermined number of pixels, a reference image is obtained by reading out and expanding the stored reduced size image of the restored image, and when an image is encoded using reference pixels of less than two times a number of pixels of the predetermined number of pixels, the reference image is obtained from the stored restored image.

Image decoding apparatus and image decoding method

A decoding apparatus comprises a variable length decoder that decodes zero-run length and nonzero coefficient, an inverse quantizer that inverse-quantizes the nonzero coefficient, a zero-run reconstruction processor that reconstruct zero coefficients, a FIFO memory that store the zero-run length data and nonzero coefficients, an inverse discrete cosine transformer that subjects the coefficients to an inverse discrete cosine transformation, and a motion compensator that subjects the transformed result to a motion compensation.

Compression-encoded data decoding apparatus

Compression-encoded data decoding apparatus cross-reference to related applications

A discrete cosine transformation apparatus comprises a transposition section that transposes input picture signal of N&times;N pixels in every N pixels between the one-dimensional processing and the two-dimensional processing and a transformation section that subjects an output of the transposition section to a discrete cosine transformation.

Discrete cosine transformation apparatus, inverse discrete cosine transformation apparatus, and orthogonal transformation apparatus

A video on demand system includes one or more hybrid fiber coax access networks connecting set top units to corresponding head end units. The head end unit for an access network is connected to an asynchronous transfer mode wide area network (ATM WAN). A hierarchical system of video servers, including at least one center server and at least one local server, or cache node, are also connected to the ATM WAN. When a user wishes to select a video, a service control unit coupled to the ATM WAN generates a selection list of proposed videos for which server and network resources are available to immediately serve the user-selected video. The service control unit determines whether server and network resources are available by sending separate queries to server and network resources management control units. Alternatively, the service control unit may generate the selection list based on whether the probability of a particular video being immediately served is greater than a threshold.

Video on demand system that presents users with a selection list of proposed videos for which server and network resources are available to immediately serve the selected video

The first and second fields of an interlaced reference picture are subsampled in the same phase in the horizontal direction to produce a primary search reference picture. The first and second fields of an interlaced motion vector detecting picture are subsampled in different phases to produce a primary search motion vector detecting picture. From the primary search reference picture is extracted a primary search reference block which is similar to a primary search motion vector detecting block which is a partial area in the primary search motion vector detecting picture. A search is made for a candidate field motion vector associated with the primary search reference block. A secondary search is made with the candidate motion vector taken as the search center, thereby detecting final field and frame motion vectors.

Motion vector detecting method and apparatus

In a method of detecting motion vector data indicative of motion of a partial area in an input picture from any area on a reference picture, a first distortion between a partial area constructed by fields of the input picture and a partial area constructed by fields of the reference picture is calculated as a first evaluation value; a position of the partial area constructed by the fields of the reference picture at which the first evaluation value becomes the minimum value is detected; a search window on a frame of the reference picture is set on the basis of a detected position of the partial area constructed by the fields of the reference picture previously detected; and a second distortion between a partial area constructed by a frame in the set search window and a partial area constructed by a frame of the input picture is calculated as a second evaluation value, and a position of the partial area constructed by the frame of the reference picture at which the second evaluation value becomes the minimum value is detected. Therefore, the frame vectors can be detected on the basis of the field vector detection positions, so that the amount of calculations required to retrieve frame vectors can be reduced markedly, without degrading the detection precision of the frame vectors.

Motion vector detecting method and system for motion compensating

A video coding apparatus comprising a memory for storing a coded picture signal used as a reference picture signal, a vector detecting circuit for detecting, from plural field picture signals or plural frame picture signals which are read out from the memory and the reference picture signals, an optimum motion regarding a picture to be coded, a prediction signal producing circuit for subjecting a spatial-temporal filtering to a reference picture designated by the optimum motion vector to produce a prediction signal, and a coding circuit for coding the to-be coded picture signal on the basis of the prediction signal.

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Kawasaki, Japan

Yoshiharu Uetani