Lg electronics inc. (20240348787). IMAGE CODING METHOD BASED ON SECONDARY TRANSFORM AND APPARATUS THEREFOR simplified abstract
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IMAGE CODING METHOD BASED ON SECONDARY TRANSFORM AND APPARATUS THEREFOR
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IMAGE CODING METHOD BASED ON SECONDARY TRANSFORM AND APPARATUS THEREFOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240348787 titled 'IMAGE CODING METHOD BASED ON SECONDARY TRANSFORM AND APPARATUS THEREFOR
The image decoding method described in the abstract involves receiving quantized transform coefficients and a transform index, dequantizing the coefficients, deriving modified coefficients based on a matrix operation, clipping the modified coefficients, and deriving residual samples using an inverse primary transform.
- Receiving quantized transform coefficients and a transform index
- Dequantizing the coefficients to derive transform coefficients
- Deriving modified coefficients based on a matrix operation
- Clipping the modified coefficients to a predetermined range
- Deriving residual samples using an inverse primary transform
Potential Applications: - Image and video compression - Digital signal processing - Multimedia applications
Problems Solved: - Efficient decoding of image data - Improved compression techniques - Enhanced image quality
Benefits: - Higher quality images - Reduced file sizes - Faster decoding process
Commercial Applications: Title: Advanced Image Compression Technology for Multimedia Applications This technology can be used in industries such as: - Media and entertainment - Telecommunications - Surveillance systems
Questions about Image Decoding Method: 1. How does this method improve image quality during decoding?
This method enhances image quality by efficiently processing transform coefficients and deriving accurate residual samples.
2. What are the potential drawbacks of using this image decoding method?
The potential drawbacks could include increased computational complexity and the need for specialized hardware for real-time processing.
Original Abstract Submitted
an image decoding method according to the present document comprises the steps of: receiving a quantized transform coefficient for a target block and a transform index for a non-separable secondary transform; dequantizing the quantized transform coefficients to derive transform coefficients; deriving modified transform coefficients on the basis of a matrix operation of a transform kernel matrix in a transform set indicated by the transform index and a transform coefficient list corresponding to the magnitude of dequantized transform coefficients; clipping the modified transform coefficients to a predetermined range of values; and deriving residual samples for the target block on the basis of an inverse primary transform with respect to the modified transform coefficients clipped.
