Image Decoding with Transform Skip and Adaptive Inverse Quantization
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Solution Overview
Problem
Conventional image processing methods using the 'transform skip + QP4' approach risk information loss due to improper parameter settings, leading to irreversible coding and decoding.
Innovation Solution
An image processing device and method that dynamically adjusts inverse quantization and inverse transformation processes based on the application of a transform skip, using specific parameter settings to minimize information loss and achieve reversible coding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the transform skip + QP4 approach is used, then coding complexity is reduced, but information loss occurs due to improper parameter settings
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the quantization parameter QP based on the transform skip flag. When transform skip is enabled, the system sets QP to a specific value (QP4) to ensure lossless decoding, whereas conventional methods use fixed or differently adjusted QP values. This parameter adaptation resolves the contradiction by maintaining simplicity while preventing information loss through context-aware parameter selection.
Solution Approach 2:
The invention introduces dynamics by making the inverse quantization process adaptive to the transform skip condition. The system dynamically selects different inverse quantization algorithms based on whether transform skip is applied, rather than using a static approach. This dynamic adaptation allows the system to maintain low complexity when transform skip is used while ensuring lossless reconstruction when needed.
2Ease of operation
If conventional inverse quantization is performed without transform skip adaptation, then processing is simplified, but decoding becomes irreversible
Solution Approach 1:
The patent implements feedback by using the transform skip flag as a control signal that determines the inverse quantization behavior. The decoding process receives feedback about whether transform skip was applied during encoding, and adjusts its operation accordingly. This feedback mechanism ensures that the inverse quantization process is reversible when transform skip is used, while maintaining processing simplicity through conditional logic.
Solution Approach 2:
The system changes the quantization parameter QP based on the transform skip condition to ensure decoding reversibility. When transform skip is enabled, QP is set to a value that guarantees lossless reconstruction (QP4), whereas conventional methods use different QP values that may cause information loss. This parameter adaptation maintains processing simplicity while ensuring reliability.
Data Source
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AI summary
The present disclosure relates to image processing devices and methods capable of curbing loss of information due to coding and decoding. Inverse quantization is performed on a quantization coefficient using a quantization parameter depending on whether a transform skip is to be applied, inverse coefficient transformation is performed on a transform coefficient generated by inverse quantization to generate a predicted residual that is a residual between an image and a predicted image of the image when the transform skip is not to be applied, and the inverse coefficient transformation is skipped when the transform skip is to be applied. The present disclosure can be applied to, for example, an image processing device, an image coding device, an image decoding device, a transmission device, a reception device, a transmission/reception device, an information processing device, an imaging device, a reproduction device, an electronic apparatus, an image processing method, an information processing method, or the like.