Abstract: The present disclosure relates to an image processing device and method that enable suppression of an increase in the amount of coding of a quantization matrix. An image processing device of the present disclosure includes an up-conversion unit configured to up-convert a quantization matrix limited to a size less than or equal to a transmission size that is a maximum size allowed for transmission, from the transmission size to a size that is identical to a block size that is a processing unit of quantization or dequantization. The present disclosure is applicable to, for example, an image processing device for processing image data.

Abstract: The present disclosure relates to an image processing device and method that enable suppression of an increase in the amount of coding of a scaling list.

Abstract: The present disclosure relates to an image processing device and method that enable suppression of an increase in the amount of coding of a scaling list.

Abstract: The present disclosure relates to an image processing device and method that enable suppression of an increase in the amount of coding of a quantization matrix. An image processing device of the present disclosure includes an up-conversion unit configured to up-convert a quantization matrix limited to a size less than or equal to a transmission size that is a maximum size allowed for transmission, from the transmission size to a size that is identical to a block size that is a processing unit of quantization or dequantization. The present disclosure is applicable to, for example, an image processing device for processing image data.

Abstract: An image processing device and method that enable suppression of a reduction in coding efficiency. The image processing device encodes an image to generate encoded data, and set, as syntax of the generated encoded data, syntax whose semantics is set so that a default quantization matrix having the same size as a block size that is a unit of processing in which quantization is performed is referred to when in a copy mode in which a quantization matrix is copied, quantization matrix reference data identifying a reference destination of the quantization matrix matches quantization matrix identification data identifying the quantization matrix. The device and method can be applied to an image processing device.

Abstract: An image processing device and method that enable suppression of a reduction in coding efficiency. The image processing device encodes an image to generate encoded data, and set, as syntax of the generated encoded data, syntax whose semantics is set so that a default quantization matrix having the same size as a block size that is a unit of processing in which quantization is performed is referred to when in a copy mode in which a quantization matrix is copied, quantization matrix reference data identifying a reference destination of the quantization matrix matches quantization matrix identification data identifying the quantization matrix. The device and method can be applied to an image processing device.

Abstract: The present disclosure relates to an image processing device and method that enable suppression of an increase in the amount of coding of a quantization matrix. An image processing device of the present disclosure includes an up-conversion unit configured to up-convert a quantization matrix limited to a size less than or equal to a transmission size that is a maximum size allowed for transmission, from the transmission size to a size that is identical to a block size that is a processing unit of quantization or dequantization. The present disclosure is applicable to, for example, an image processing device for processing image data.

Abstract: Provided is an image processing apparatus including: an encoder configured to scalably encode image data; a write unit configured to cause storage via a predetermined bus to store encoded data that is the image data scalably encoded by the encoder; a read unit configured to read a desired layer of the encoded data from the storage via the bus; and a decoder configured to scalably decode the encoded data read from the storage by the read unit.

Abstract: An image processing device including a decoding section configured to decode an image from an encoded stream, a horizontal filtering section configured to apply a deblocking filter to a vertical block boundary within an image to be decoded by the decoding section, a vertical filtering section configured to apply a deblocking filter to a horizontal block boundary within an image to be decoded by the decoding section, and a control section configured to cause the horizontal filtering section to filter in parallel a plurality of vertical block boundaries included in a processing unit containing a plurality of coding units and cause the vertical filtering section to filter in parallel a plurality of horizontal block boundaries included in the processing unit.

Abstract: An image processing device including a decoding section configured to decode an image from an encoded stream, a horizontal filtering section configured to apply a deblocking filter to a vertical block boundary within an image to be decoded by the decoding section, a vertical filtering section configured to apply a deblocking filter to a horizontal block boundary within an image to be decoded by the decoding section, and a control section configured to cause the horizontal filtering section to filter in parallel a plurality of vertical block boundaries included in a processing unit containing a plurality of coding units and cause the vertical filtering section to filter in parallel a plurality of horizontal block boundaries included in the processing unit.

Abstract: In a sample adaptive offset (SAO), the coding efficiency is improved by selecting an optimum mode among a plurality of modes based on a technique called a band offset and an edge offset. However, a processing amount of the SAO tends to increase when an optimum mode and an offset value are set, and this may result in an increase in a circuit size or power consumption. In this regard, the present disclosure proposes to enable reducing a processing amount of a cost calculation of the sample adaptive offset. According to the present disclosure, there is provided an image processing apparatus, including: a control unit configured to set an offset value to be applied to a pixel of an image, from among candidates of the offset value restricted according to a bit depth of the image; and a filter processing section configured to perform a filter process of applying the offset value set by the control unit to the pixel of the image.

Abstract: There is provided an image processing apparatus and an image processing method which are capable of reducing a processing amount of a cost calculation, the image processing apparatus including: a filter processing section configured to perform a filter process of applying an offset to a pixel of a decoded image that is decoded; and a control unit configured to control a mode used when the filter process is performed and an offset for the mode according to an encoding parameter used when an image is encoded.

Abstract: The present disclosure relates to an image encoding device and a method that can suppress a decrease in image quality due to encoding. The image encoding device includes: a control unit configured to restrict a mode of generation of a predicted image, based on prediction of image quality of reference image data to be referred to when generating the predicted image; a prediction unit configured to generate the predicted image according to a mode not restricted by the control unit; and an encoding unit configured to encode image data using the predicted image generated by the prediction unit. The present disclosure can be applied to an image processing device or an image encoding device, for example.

Abstract: Provided is an image processing apparatus including: an encoder configured to scalably encode image data; a write unit configured to cause storage via a predetermined bus to store encoded data that is the image data scalably encoded by the encoder; a read unit configured to read a desired layer of the encoded data from the storage via the bus; and a decoder configured to scalably decode the encoded data read from the storage by the read unit.

Abstract: Provided is an image processing device including a decoding section configured to decode an image from an encoded stream, a horizontal filtering section configured to apply a deblocking filter to a vertical block boundary within an image to be decoded by the decoding section, a vertical filtering section configured to apply a deblocking filter to a horizontal block boundary within an image to be decoded by the decoding section, and a control section configured to cause the horizontal filtering section to filter in parallel a plurality of vertical block boundaries included in a processing unit containing a plurality of coding units and cause the vertical filtering section to filter in parallel a plurality of horizontal block boundaries included in the processing unit.

Abstract: The present disclosure relates to an image processing device and a method capable of suppressing the reduction of an image quality due to encoding/decoding. The image processing device includes: a quantization unit that when orthogonal transform processing is skipped with respect to a current block, quantizes all components of the current block using one weighting coefficient and when the orthogonal transform processing is performed on the current block, quantizes each component of the current block using a quantization matrix; an encoding unit that encodes the coefficient of the current block which is quantized by the quantization unit; and a transmission unit that transmits the coded data of the current block which is obtained by being encoded by the encoding unit. The present disclosure can be applied to, for example, an image processing device.

Abstract: The present disclosure relates to an image processing device and a method capable of suppressing the reduction of an image quality due to encoding/decoding. The image processing device includes: a quantization unit that when orthogonal transform processing is skipped with respect to a current block, quantizes all components of the current block using one weighting coefficient and when the orthogonal transform processing is performed on the current block, quantizes each component of the current block using a quantization matrix; an encoding unit that encodes the coefficient of the current block which is quantized by the quantization unit; and a transmission unit that transmits the coded data of the current block which is obtained by being encoded by the encoding unit. The present disclosure can be applied to, for example, an image processing device.

Abstract: The present technology relates to an image processing device and method capable of improving the coding efficiency. An image processing device of the present technology includes: a generator configured to generate information on a scaling list to which identification information is assigned according to a format of image data to be encoded; an encoder configured to encode the information on the scaling list generated by the generator; and a transmitter configured to transmit the encoded data of the information on the scaling list generated by the encoder. The present technology can be applied to image processing devices.

Abstract: An image processing device and method that enable suppression of a reduction in coding efficiency. The image processing device dequantizes quantized data generated through decoding, using a default quantization matrix having a same size as a block size that is a unit of processing in which dequantization is performed, when in a copy mode in which a quantization matrix is copied, quantization matrix reference data identifying a reference destination of the quantization matrix matches quantization matrix identification data identifying the quantization matrix. The device and method can be applied to an image processing device.

Abstract: An image processing device and method that enable suppression of an increase in the amount of coding of a scaling list. The image processing device sets a coefficient located at the beginning of a quantization matrix by adding a replacement difference coefficient that is a difference between a replacement coefficient used to replace a coefficient located at the beginning of the quantization matrix and the coefficient located at the beginning of the quantization matrix to the coefficient located at the beginning of the quantization matrix; up-converts the set quantization matrix; and dequantizes quantized data using an up-converted quantization matrix in which a coefficient located at the beginning of the up-converted quantization matrix has been replaced with the replacement coefficient. The device and method can be applied to an image processing device.