Image Compression Using Pixel Differences for Lossless Transmission
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Solution Overview
Problem
Existing image compression methods sacrifice image resolution or bit depth to reduce bandwidth requirements, leading to loss of original image quality.
Innovation Solution
An image compression method that determines a reference pixel point for each target pixel, calculates pixel difference values, and applies point compression data based on these differences to compress the image without losing resolution or bit depth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image compression is applied to reduce bandwidth requirements, then transmission efficiency is improved, but image resolution and bit depth are degraded
Solution Approach 1:
The patent transforms the image compression approach by changing from direct pixel value encoding to encoding pixel difference values relative to reference pixels. This parameter transformation allows the compression system to achieve higher compression ratios while preserving the ability to perfectly reconstruct original pixel values, thereby maintaining image resolution and bit depth while improving transmission efficiency.
2Manufacturing precision
If bandwidth is increased to transmit high-resolution images without compression, then image quality is maintained, but transmission cost and complexity increase
Solution Approach 1:
The patent extracts only the essential information needed for image reconstruction by encoding pixel difference values rather than complete pixel data. By taking out and transmitting only the differential information relative to reference pixels, the system significantly reduces bandwidth requirements while maintaining complete image quality, avoiding the need for high bandwidth transmission.
Data Source
AI summary
Disclosed are an image compression method and apparatus, and an intelligent terminal and a computer-readable storage medium. The method comprises: obtaining a target image, and determining reference pixel points corresponding to target pixel points; determining pixel difference values of the target pixel points and the reference pixel points corresponding to same; determining, according to the pixel difference values, point compression data corresponding to the target pixel points; and compressing the target pixel points according to the point compression data to obtain image compression data of the target image.