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:
An image processing apparatus and a method for improving the coding efficiency for a quantization parameter are provided. The method includes steps of setting a predicted quantization parameter for a current coding unit by using multiple quantization parameters which are set for multiple surrounding coding units located around the current coding unit which is target of coding processing, and setting a difference quantization parameter indicating a difference value between the quantization parameter which is set for the current coding unit and the predicted quantization parameter.
Abstract:
The present disclosure relates to an image processing apparatus and an image processing method capable of improving process efficiency through a parallel process. In a case of corresponding PU1, there is a use of motion vector information pieces of B1, C1, and E1 which are adjacent to corresponding PU1 in the following positional relationship, and A0 and D0 which are adjacent to PU0 located on corresponding PU1 in the CU in the following positional relationship. In other words, in relation to corresponding PU1, a PU corresponding to A1 is PU0, and thus A0 is set instead of A1 as an adjacent region of corresponding PU1. The present disclosure is applicable to, for example, an image processing apparatus.
Abstract:
The present disclosure relates to image processing device and method that can suppress the deterioration in encoding efficiency.An image processing device includes: a reception unit that receives encoded data in which an image with a plurality of main layers is encoded, and inter-layer prediction control information controlling whether to perform inter-layer prediction, which is prediction between the plurality of main layers, with the use of a sublayer; and a decoding unit that decodes each main layer of the encoded data received by the reception unit by performing the inter-layer prediction on only the sublayer specified by the inter-layer prediction control information received by the reception unit. The present disclosure can be applied to, for example, an image processing device.
Abstract:
Provided is an image processing device including a control section configured to set based on a first quantization parameter offset set for a chroma component of a first layer, a second quantization parameter offset for a chroma component of a second layer decoded with reference to the first layer, and an inverse quantization section configured to inversely quantize transform coefficient data of the chroma component of the second layer using a quantization parameter computed using the second quantization parameter offset set by the control section.
Abstract:
The quantization parameters (QP) for Chroma are extended up to and more preferably to the same range as Luma QP (e.g., 0 to 51). Previous, values of Chroma QP only extended up to 39. Techniques are provided for determining extended Chroma QP values (e.g., for Cr and Cb) based on the Luma QP and picture level chroma offsets. In one preferred embodiment, slice level offsets are added making the method particularly well-suited for slice level parallel processing. The extension of Chroma QP enhances functionality, flexibility and friendliness of the High Efficiency Video Coding (HEVC) standard for various applications.
Abstract:
There is provided an image processing system and an image processing method able to suppress block distortion in the case of decoding image data encoded in unit of blocks. A controlling unit selects a filtering content to be applied to the block image data based on the encoding types of the block image data to be filtered, and a filtering unit applies filtering to the block image data to be processed according to the filtering content selected by the controlling unit.
Abstract:
A deblocking filter performs filtering of decoded image data obtained by decoding image data encoded for each block, so as to remove block distortion. If at least one of block sizes on adjacent sides of two adjacent blocks is extended larger than a predetermined block size, a filter setting unit sets the tap length to an extended length to increase the strength of distortion removal, or sets a filtering object pixel range to an extended range. When a macroblock having an extended size is used, the degree of smoothing is increased, and pixels including those distant from the block boundary are subjected to filtering. Consequently, even when various block sizes are employed or when blocks of extended sizes are used, images of high image quality can be achieved.
Abstract:
Provided is an image processing device including a selection section configured to select, from a plurality of transform units with different sizes, a transform unit used for inverse orthogonal transformation of image data to be decoded, a generation section configured to generate, from a first quantization matrix corresponding to a transform unit for a first size, a second quantization matrix corresponding to a transform unit for a second size from a first quantization matrix corresponding to a transform unit for a first size, and an inverse quantization section configured to inversely quantize transform coefficient data for the image data using the second quantization matrix generated by the generation section when the selection section selects the transform unit for the second size.
Abstract:
A decoding method decodes a bit stream in an image decoding apparatus. The method includes receiving a weight parameter that is added to a luma quantization parameter as the bit stream. The method also includes decoding, in a decoding unit in the image decoding apparatus, the bit stream, and generating a luma component of quantized coefficients and a chroma component of quantized coefficients. Further, the method includes performing, in a dequantization unit in the image decoding apparatus, dequantization on the luma component of quantized coefficients using the luma quantization parameter and the chroma component of quantized coefficients using a chroma quantization parameter calculated on the basis of the luma quantization parameter weighted by an add operation of the weight parameter. In addition, the method includes performing, in a transform unit in the image decoding apparatus, an inverse orthogonal transform.