Image Compression Using Filter Information and Interpolation Coefficients
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Solution Overview
Problem
Existing image compression methods deteriorate image quality when transmitting high resolution images over limited bandwidth, as they transform high resolution images into low definition versions, leading to unnecessary bit transmission and quality loss.
Innovation Solution
An image compression apparatus that reduces image resolution and transmits filter information to prevent quality deterioration, using a filter set table to accumulate and reuse interpolation coefficients, clustering pixels into groups, and selecting representative or interest blocks to determine interpolation coefficients, thereby reducing bit transmission and enhancing image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If high resolution image is transmitted using limited bandwidth, then image can be transmitted, but image quality deteriorates due to transformation to low definition image
Solution Approach 1:
The patent segments the image into multiple blocks and clusters them into groups, then determines interpolation filter coefficients for each group. This segmentation allows the system to transmit only essential filter information rather than complete high-resolution image data, resolving the contradiction between limited bandwidth and image quality preservation.
Solution Approach 2:
The patent performs preliminary clustering of image blocks and determination of interpolation filter coefficients before transmission. By pre-processing the image to identify representative blocks and their corresponding filter coefficients, the system can transmit compressed data that maintains image quality when reconstructed at the receiving end.
2Manufacturing precision
If upsampling interpolation filter coefficients are determined per pixel using 3x3 window clustering, then image quality can be maintained, but amount of bits increases due to unnecessary transmission
Solution Approach 1:
The patent merges adjacent pixels into larger blocks (e.g., 4x4, 8x8, 16x16) and clusters these blocks into groups that share common interpolation filter coefficients. This merging reduces the number of separate coefficient determinations needed, thereby reducing the total bits required for transmission while maintaining image quality through representative block selection.
Solution Approach 2:
The patent applies different block sizes and clustering strategies to different regions of the image based on their characteristics. By adapting the processing method to local image properties, the system optimizes the balance between image quality preservation and data compression, reducing unnecessary bit transmission in homogeneous regions while maintaining detail in important areas.
Data Source
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AI summary
Provided is method and apparatus of compressing and restoring an image using filter information. The image compression apparatus may generate a reduced image by sampling an input image, determine filter information based on the input image and a decoded reduced image, and code the filter information and the decoded reduced image. Accordingly, a deterioration in an image quality may be prevented in transmitting the image using a limited bandwidth.