Image Processing Device Compressibility Error Prediction
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Solution Overview
Problem
Existing image processing devices face challenges in reducing compressibility errors during lossy compression, which can lead to significant discrepancies in image data, affecting the quality of output image data and accumulating errors over frames.
Innovation Solution
An image processing device and method that includes state image data generation, compression, decompression, compressibility error prediction, substitute image data generation, and current image data selection to minimize the impact of compressibility errors on output image data, using a combination of error prediction and correction techniques to manage pixel data fluctuations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If lossy compression is used to reduce frame memory data amount, then data compressibility is improved, but compressibility error occurs and output image data quality deteriorates
Solution Approach 1:
The patent performs preliminary action by predicting compressibility errors before they occur and pre-correcting the input image data. The error prediction unit calculates expected compression errors in advance, and the correction unit applies compensation to the input data before compression, thereby eliminating the harmful effect of compressibility errors without sacrificing compression efficiency.
Solution Approach 2:
The patent implements feedback by using the error prediction unit to continuously monitor and calculate compressibility errors during the compression process. The predicted errors are fed back to the correction unit, which adjusts the input data accordingly. This closed-loop system ensures that compression errors are compensated in real-time, maintaining output image quality while achieving high compression ratios.
2Productivity
If compressibility error is amplified by output image data generation, then processing speed is improved, but output image data accuracy deteriorates
Solution Approach 1:
The patent applies preliminary anti-action by pre-correcting the input image data to counteract the amplification effect that will occur during output generation. The correction unit calculates compensation values based on predicted compressibility errors and applies them to the input data before compression, thereby neutralizing the harmful amplification effect in advance and ensuring accurate output image data.
3Productivity
If compressibility error accumulates over multiple frames, then processing efficiency is improved, but image quality deteriorates
Solution Approach 1:
The patent performs preliminary correction action for each frame independently, preventing error accumulation across multiple frames. By predicting and correcting compressibility errors in advance for each frame's input data, the system ensures that errors do not propagate or accumulate, maintaining consistent image quality over time while preserving processing efficiency.
Data Source
AI summary
An image processing device that reduces influence by a compressibility error of image data generated by a previous frame on output image data is disclosed. The image processing device generates a compressibility error prediction value, based on an input image data, generates substitute image data of the input image data, based on an emergence tendency of the compressibility error, selects the input image data or the substitute image data to set a result as current image data, generates next state image data, compresses the next state image data to generate compressed state image data, stores the compressed state image data in a frame memory, generates the state image data by reading the compressed state image data from the frame memory and decompressing the same, and generates output image data, based on the current image data and the state image data.