Image Transform Encoding With Rotation and Symmetry Selection
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images leads to a significant increase in transmission and storage costs due to the increased amount of transmitted information, necessitating high-efficient image compression technologies.
Innovation Solution
An image encoding/decoding method utilizing rotation and symmetry transforms to optimize image pre-processing and post-processing, along with a method for selecting the optimal pre-processing technique, and a non-transitory recording medium for storing and transmitting bitstreams generated by this method.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image resolution and quality are improved, then image quality is enhanced, but transmission cost and storage cost increase
Solution Approach 1:
The patent applies asymmetric transform techniques including rotation transforms (rot90, rot180, rot270) and symmetry transforms (flip_left_right, flip_up_down) to reposition important image regions. This asymmetric treatment of different image regions allows for more efficient compression by concentrating information in transformed domains, reducing the overall bitrate required while maintaining image quality
Solution Approach 2:
The patent changes the parameter representation of image data by applying multiple transform types (rotation, symmetry, and traditional DCT) and selecting the optimal transform based on rate-distortion optimization. This parameter transformation enables the same visual information to be represented with fewer bits by exploiting different statistical properties of transformed coefficients
2Manufacturing precision
If image resolution and quality are improved, then image quality is enhanced, but storage cost increases
Solution Approach 1:
The patent uses asymmetric transform operations to reposition and reorient image content, creating non-uniform distributions of transform coefficients that can be more efficiently quantized and encoded. This asymmetric processing reduces the number of bits required to represent the same visual information, decreasing storage requirements while maintaining quality
Solution Approach 2:
The patent performs preliminary transform operations (rotation and symmetry transforms) on image blocks before the main compression process. By pre-processing blocks with appropriate transforms based on their content characteristics, the patent optimizes the distribution of energy across frequency coefficients, enabling more efficient subsequent compression and reducing overall storage requirements
3Productivity
If traditional compression methods are used, then implementation is simple, but encoding efficiency is insufficient for high-resolution images
Solution Approach 1:
The patent segments the image into multiple coding blocks and applies different transform types to different blocks based on their local characteristics. This segmentation allows the complex transform processing to be distributed and parallelized, improving encoding efficiency for high-resolution images while managing computational complexity through localized processing
Solution Approach 2:
The patent dynamically selects transform types (rotation or symmetry transforms) based on the content characteristics of each image block and rate-distortion optimization results. This dynamic adaptation allows the encoder to achieve high encoding efficiency by using the most appropriate transform for each region, while the standardized set of transform options keeps implementation complexity manageable
Data Source
AI summary
An image encoding/decoding method, a bitstream transmission method, a computer-readable recording medium for storing a bitstream are provided. An image decoding method according to the present disclosure is an image decoding method performed by an image decoding device, and may comprise the steps of: reconstructing a picture from a bitstream; and transforming the reconstructed picture on the basis of one of at least one candidate transform, wherein the at least one candidate transform corresponds to a rotation transform or symmetric transform for the picture.