Inter-Channel Codeword Encoding for Efficient Image Compression

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing image compression techniques fail to exploit redundancies across different color channels, leading to inefficient compression and potential loss of information.

Innovation Solution

Implement inter-channel encoding of codewords by mapping quantized coefficients from multiple color channels into a single data structure and encoding it using lossless compression schemes, such as RLE, to group similar coefficients together for efficient compression.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional separate channel encoding is used, then encoding simplicity is maintained, but compression efficiency deteriorates due to unexploited inter-channel redundancies

Engineering Contradiction:
Improvecompression efficiencyVSAvoidencoding complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent merges multiple color channel encoding operations into a single unified encoding process. Quantized coefficients from different color channels (Y, Cb, Cr) are combined into a single data structure and encoded together using lossless compression, allowing the encoder to exploit statistical dependencies and redundancies that exist across channels, thereby improving compression efficiency without requiring separate encoding operations for each channel

Inventive Principle:
Principle #5Merging (Combining)

2Productivity

If lossy compression is used, then compression ratio improves, but information loss increases

Engineering Contradiction:
Improvecompression ratioVSAvoidinformation loss
Core Design Contradiction:
ProductivityVSLoss of information

Solution Approach 1:

The patent extracts and removes the lossy quantization step from the compression pipeline by applying lossless compression to the quantized coefficients. By using lossless encoding schemes on the already-quantized data, the method achieves high compression ratios while preserving all information that survived the quantization process, thus eliminating the additional information loss that would occur with lossy compression techniques

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS12445632B2Image compression with inter-channel encoding of codewords
Publication Date: 2025.10.14 SYNAPTICS INC
  • US12445632B2 patent drawing
  • US12445632B2 patent drawing
  • US12445632B2 patent drawing

AI summary

This disclosure provides methods, devices, and systems for image compression. The present implementations more specifically relate to image compression techniques that support inter-channel encoding of codewords. An encoder implementing an image compression operation may apply a spatial-frequency transform to a number (N) arrays of pixel values associated with N color channels, respectively, and may quantize the result to produce N arrays of quantized coefficients. In some aspects, the encoder may map each quantized coefficient of the N arrays of quantized coefficients to a data structure and may encode the data structure as one or more codewords associated with a lossless compression scheme. In some implementations, the mapping may arrange the quantized coefficients in the data structure in order of decreasing (or increasing) amplitude, independent of color channel.