Abstract:
An image processing apparatus including an inter-prediction section that generates a set of reference pixels of fractional pixel positions from a reference image for motion compensation and searches an image to be encoded for a motion vector by using the set of generated reference pixels and an encoding section that encodes the image to be encoded on a basis of a result of searching for the motion vector by the inter-prediction section. The inter-prediction section includes a reference pixel at a fractional pixel position further inward than a first predetermined distance from a boundary of a partial region corresponding to a slice or a tile, in the set of reference pixels that are used for searching the partial region for a motion vector.
Abstract:
Provided is an image processing device including an infrared image acquisition unit that acquires an infrared image of an imaged object, a visible light image acquisition unit that acquires a visible light image of the imaged object, a generation unit that generates cutaneous sensation control parameters on the basis of the infrared image acquired by the infrared image acquisition unit, and a data processing unit that associates the visible light image acquired by the visible light image acquisition unit with the cutaneous sensation control parameters generated by the generation 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:
Implementations generally relate to data-charge phase data compression. In one implementation, a method includes computing prediction values for image data, where the image data is data-charge phase data, where the computing of prediction values is based on inter-block prediction, and where an additional bit-budget is assigned to a first block of the image data. The method also includes computing residual data based on the prediction values. The method also includes quantizing the residual data. The method also includes entropy encoding the quantized residual data. The method also includes refining an inverse quantized residual data based on one or more of the residual data and a number of left-over bit-budget after entropy encoding.
Abstract:
An image processing device includes a viewpoint separating unit configured to separate multi-viewpoint image data, including images of multiple viewpoints and representing intensity distribution of light and the direction of travel of light according to positions and pixel values of pixels, into a plurality of single-viewpoint image data for each of the individual viewpoints; and a parallax control unit configured to control amount of parallax between the plurality of single-viewpoint image data obtained by separation into individual viewpoints by the viewpoint separating unit.
Abstract:
There is provided a signal processing apparatus including a learning unit that learns a plurality of base signals of which coefficients become sparse, for each of features of signals, such that the signals are represented by a linear operation of the plurality of base signals.