CPC Class H04N

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.

In one embodiment of the present invention, an encoding bitrate ladder selector tailors bitrate ladders to the complexity of source data. Upon receiving source data, a complexity analyzer configures an encoder to repeatedly encode the source data-setting a constant quantization parameter to a different value for each encode. The complexity analyzer processes the encoding results to determine an equation that relates a visual quality metric to an encoding bitrate. The bucketing unit solves this equation to estimate a bucketing bitrate at a predetermined value of the visual quality metric. Based on the bucketing bitrate, the bucketing unit assigns the source data to a complexity bucket having an associated, predetermined bitrate ladder. Advantageously, sagaciously selecting the bitrate ladder enables encoding that optimally reflects tradeoffs between quality and resources (e.g., storage and bandwidth) across a variety of source data types instead of a single, “typical” source data type.