Image Decompression Circuit Without Entropy Decoding Hardware
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image compression technologies face challenges with high hardware costs, complex designs, and poor performance due to the inclusion of entropy decoding circuits, quantization tables, and de-zigzag circuits, which are not adequately addressed in the related art.
Innovation Solution
A method and circuit for image decompression that utilizes an inverse quantization circuit and an up-sampling circuit without entropy decoding, quantization tables, or de-zigzag circuits, enabling efficient image decompression with limited hardware resources, particularly suitable for icons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a traditional image decoder with entropy decoding circuit, quantization table, de-zigzag circuit, and inverse transform circuit is used, then image decompression can be performed, but hardware cost increases and device complexity increases
Solution Approach 1:
The patent extracts and removes the entropy decoding circuit, quantization table, de-zigzag circuit, and inverse transform circuit from the traditional image decoder architecture. By taking out these complex components, the patent achieves image decompression with significantly reduced hardware complexity while maintaining functional capability through alternative simplified processing stages.
Solution Approach 2:
The patent replaces expensive and complex hardware components with simpler, more economical processing stages. The simplified decoder uses basic processing circuits that can be implemented with lower hardware resources, effectively using 'cheap' alternatives to achieve the same decompression function without the high cost of traditional components.
2Reliability
If a traditional image decoder with multiple circuits is used, then image decompression can be performed, but hardware cost increases
Solution Approach 1:
The patent removes expensive hardware components (entropy decoding circuit, quantization table, de-zigzag circuit, inverse transform circuit) from the decoder architecture. This extraction of unnecessary components directly reduces hardware manufacturing costs while preserving the essential image decompression functionality through simplified processing stages.
Solution Approach 2:
The patent employs economical processing alternatives that cost less to manufacture than traditional decoder components. By using simplified processing circuits and eliminating the need for complex hardware structures, the patent achieves the same decompression function at a lower hardware cost, making the solution more economical for production.
3Device complexity
If a simplified decoder without entropy decoding and inverse transform circuits is used, then hardware cost and complexity are reduced, but decompression performance may deteriorate
Solution Approach 1:
The patent changes the processing parameters and stages of the decoder to compensate for the removed circuits. By adjusting the processing flow and using alternative mathematical operations that can be implemented with simpler hardware, the patent maintains decompression performance while reducing complexity. The processing parameters are optimized to achieve quality comparable to traditional decoders with fewer hardware resources.
Data Source
AI summary
A method for performing image decompression with limited hardware resource, associated image processing circuit and electronic device are provided. The method may include: utilizing an inverse quantization circuit to perform inverse quantization processing according to a bitstream to generate a first processing result, where the bitstream carries compressed data of a predetermined image; and utilizing an up-sampling circuit to perform up-sampling processing on the first processing result to generate a second processing result, for generating a decompressed image as a reproduced version of the predetermined image. During generating the decompressed image according to the bitstream, the image processing circuit is arranged to prevent using any entropy decoding circuit, any quantization table, any de-zigzag circuit, and any inverse transform circuit associated with the aforementioned any entropy decoding circuit, the aforementioned any quantization table and the aforementioned any de-zigzag circuit.