Image Processing Apparatus Local Bit Depth Control Encoding Efficiency
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Solution Overview
Problem
Conventional image encoding and decoding methods face challenges in controlling the computing precision of orthogonal transform and quantization due to changes in bit depth over time or spatially within a sequence, leading to reduced encoding efficiency.
Innovation Solution
An image processing apparatus and method that expand and normalize the number of significant figures of prediction residuals and quantized coefficients based on local bit depth, enabling precise control of computing precision during orthogonal transform and quantization, and inverse operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional sequence-level bit depth control is used, then device complexity is reduced, but encoding efficiency deteriorates when bit depth changes within a sequence
Solution Approach 1:
The patent divides the sequence into local areas (spatial segmentation) and time segments, applying different bit depth control to each segment. This allows encoding efficiency to be maintained in regions where bit depth changes while avoiding complex global control mechanisms.
Solution Approach 2:
The patent applies local bit depth control to specific regions within a sequence rather than uniform control. By determining bit depth separately for each local area and time segment, the system adapts to local characteristics, improving encoding efficiency without requiring complex sequence-wide control.
2Productivity
If bit depth is changed per local area or time segment, then encoding efficiency is improved, but computing precision control becomes more complex
Solution Approach 1:
The patent performs preliminary determination of bit depth for each local area and time segment before the actual encoding process. This advance preparation simplifies the subsequent encoding operations by pre-establishing the precision requirements, making the overall process easier to manage despite the fine-grained control.
Solution Approach 2:
The patent implements dynamic bit depth adjustment that adapts to changing image characteristics throughout the sequence. The system automatically modifies computing precision requirements based on local and temporal variations, simplifying operation by removing the need for manual intervention while maintaining high encoding efficiency.
3Productivity
If uniform computing precision is applied throughout the sequence, then device complexity is reduced, but encoding efficiency deteriorates when bit depth varies
Solution Approach 1:
The patent changes the computing precision parameter dynamically based on local area and time segment characteristics. By adjusting the precision parameter to match the actual bit depth requirements of different regions and time points, the system improves encoding efficiency without requiring overly complex control mechanisms.
Data Source
AI summary
There is provided an image processing apparatus and an image processing method capable of suppressing a reduction in encoding efficiency. The number of significant figures of a prediction residual of an image is expanded on the basis of a bit depth indicating a range of pixel values of a local level that is a data unit smaller than a sequence level of the image; the number of significant figures of a quantized coefficient obtained by performance of orthogonal transform and quantization on the prediction residual the number of significant figures of which is expanded is normalized on the basis of the bit depth of the local level; and the quantized coefficient the number of significant figures of which is normalized is encoded and a bit stream is generated. The present disclosure is applicable to, for example, an image processing apparatus, an image encoding apparatus, or an image decoding apparatus.