Image Processing Device Inverse Quantization Transform Skip
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Solution Overview
Problem
Conventional 'transform skip + QP4' approaches in image coding and decoding methods risk loss of information due to improper parameter settings, leading to irreversible decoding.
Innovation Solution
Control parameters in inverse quantization and transform quantization processes to approximate reversible decoding, using methods such as setting quantization parameters based on transform skip flags, adjusting rounding offsets, and applying normalization techniques to minimize information loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If image data is transmitted from a digital camera to a television set for display, then the image can be viewed on a larger screen, but transmission errors may occur during data transfer
Solution Approach 1:
The transmitting side performs error correction encoding before transmitting the image data to the television set. This preliminary action prepares the data in advance to withstand potential transmission errors, ensuring reliable display without requiring retransmission.
Solution Approach 2:
The television set detects transmission errors in the received image data and generates error detection signals. These signals are fed back to the transmitting side, which then retransmits the erroneous data portions, ensuring accurate image display.
2Reliability
If error detection and correction protocols are implemented to ensure reliable transmission, then transmission reliability improves, but communication time increases
Solution Approach 1:
Error correction encoding is performed in advance on the transmitting side before transmission begins. This preliminary preparation reduces the need for time-consuming retransmissions later, as many errors can be corrected without requiring additional communication cycles.
Solution Approach 2:
The system applies error correction encoding to the entire image data set in advance, rather than attempting to correct errors individually during transmission. This excessive preliminary action ensures comprehensive error protection while minimizing overall communication time.
3Productivity
If simple transmission protocols are used to reduce communication time, then transmission speed improves, but transmission errors increase
Solution Approach 1:
The transmitting side performs error correction encoding before transmission, adding error protection capabilities without significantly increasing transmission time. This allows simple and fast transmission protocols to be used while maintaining high reliability through the pre-applied error correction.
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.