Lossless Video Coding with Pre-Processing for Bandwidth Reduction

Solution Overview

Problem

Existing video transmission technologies face challenges in meeting high-quality image demands due to high bandwidth requirements, with lossy compression methods failing to meet image quality needs and lossless compression methods having low compression ratios.

Innovation Solution

A lossless coding and decoding system that includes a pre-processing module for parallel processing of color components, followed by Huffman coding, data packaging, and unique data frame format, ensuring reversible operations and high compression ratios.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If lossy compression based on H.264/H.265 protocol is used, then bandwidth resources are greatly reduced, but image quality deteriorates and cannot meet requirements for high-quality images

Engineering Contradiction:

Improvebandwidth resourcesVSAvoidimage quality

Core Design Contradiction:

Loss of energyVSManufacturing precision

Solution Approach 1:

The patent applies preliminary action by performing pre-processing operations (such as gradient calculation and differential computation) on the image data before Huffman coding. This transforms the original image data into a form that has better compression characteristics, allowing lossless compression to achieve higher compression ratios without sacrificing image quality. The pre-processing step prepares the data in advance to maximize the effectiveness of subsequent compression operations.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent changes the parameter representation of image data by transforming spatial domain data into differential data or gradient data. This parameter transformation reveals the redundancy in image data more effectively, enabling the Huffman coding to achieve better compression ratios while maintaining lossless reconstruction capability, thus resolving the contradiction between bandwidth reduction and image quality preservation.

Inventive Principle:

Principle #35Parameter changes

2Manufacturing precision

If conventional lossless compression processing methods including Huffman coding are used, then image quality is preserved, but compression ratio is low and bandwidth reduction is insufficient

Engineering Contradiction:

Improveimage qualityVSAvoidbandwidth resources

Core Design Contradiction:

Manufacturing precisionVSLoss of energy

Solution Approach 1:

The patent applies preliminary action by performing pre-processing operations (such as gradient calculation and differential computation) on the image data before Huffman coding. This transforms the original image data into a form that has better compression characteristics, allowing lossless compression to achieve higher compression ratios without sacrificing image quality. The pre-processing step prepares the data in advance to maximize the effectiveness of subsequent compression operations.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent changes the parameter representation of image data by transforming spatial domain data into differential data or gradient data. This parameter transformation reveals the redundancy in image data more effectively, enabling the Huffman coding to achieve better compression ratios while maintaining lossless reconstruction capability, thus resolving the contradiction between bandwidth reduction and image quality preservation.

Inventive Principle:

Principle #35Parameter changes

3Productivity

If high bandwidth is allocated for storage and transmission of massive original data, then real-time high-quality image processing is enabled, but bandwidth resource consumption increases

Engineering Contradiction:

Improvereal-time processing capabilityVSAvoidbandwidth resources

Core Design Contradiction:

ProductivityVSLoss of energy

Solution Approach 1:

The patent applies preliminary action by performing pre-processing operations (such as gradient calculation and differential computation) on the image data before Huffman coding. This transforms the original image data into a form that has better compression characteristics, allowing lossless compression to achieve higher compression ratios without sacrificing image quality. The pre-processing step prepares the data in advance to maximize the effectiveness of subsequent compression operations.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent changes the parameter representation of image data by transforming spatial domain data into differential data or gradient data. This parameter transformation reveals the redundancy in image data more effectively, enabling the Huffman coding to achieve better compression ratios while maintaining lossless reconstruction capability, thus resolving the contradiction between bandwidth reduction and image quality preservation.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12477125B2Lossless coding and decoding system and method thereof for reducing video transmission bandwidth

Publication Date: 2025.11.18 XIAMEN RGBLINK SCI & TECH CO LTD

AI summary

Disclosed by the present invention is a lossless coding and decoding method for reducing a video transmission bandwidth, thus improving real-time performance of a system. In addition, A floating-point number from probability calculation is prevented from affecting the coding. Two-stage compression improves the compression ratio with simple and practical operations. The present invention greatly reduces the bandwidth resources occupied in the video transmission process, thus having extremely high application value in the occasions with requirements for high-quality video image.