Decoder Compensation Data Generation for Image Brightness Consistency
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Solution Overview
Problem
Existing image compression and decompression methods fail to adequately reduce the difference between original and decompressed image data, leading to inconsistencies in image brightness.
Innovation Solution
An image processing device and method that generates two different compensation data sets based on loss data from compressed image data, selects one using a random number, and decompresses the data to minimize average offset and brightness differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If image data is compressed to reduce data size, then storage efficiency is improved, but the difference between original and decompressed image data increases
Solution Approach 1:
The patent introduces compensation data as an intermediary element between the compressed image data and the final decompressed output. This compensation data is generated based on loss data from the compression process and is used to correct deviations in the decompressed image, thereby maintaining image quality while preserving compression efficiency
Solution Approach 2:
The patent implements a feedback mechanism where loss data from the compression process is analyzed and used to generate compensation data. This compensation data is then applied to the decompressed image to correct errors, creating a closed-loop system that continuously improves decompression accuracy based on compression losses
2Device complexity
If a single compensation data is used for decompression, then processing complexity is reduced, but brightness inconsistencies remain
Solution Approach 1:
The patent transitions from a static single compensation data approach to a dynamic multi-compensation data system. Multiple compensation data sets are generated with different characteristics, and the system dynamically selects and applies appropriate compensation data based on the specific characteristics of the compressed data, enabling adaptive correction of brightness inconsistencies
Solution Approach 2:
The patent segments the compensation process into multiple independent compensation data sets, each targeting different aspects of image degradation. By dividing the compensation task into multiple specialized components rather than using a single unified approach, the system can more effectively address various types of compression artifacts including brightness inconsistencies
Data Source
AI summary
An image processing device includes an interface configured to receive compressed data obtained by compressing image data corresponding to an output of at least one pixel and a decoder configured to generate at least two different pieces of compensation data based on loss data included in the compressed data and generate decompressed data by decompressing the compressed data based on any one piece of compensation data among the at least two different pieces of compensation data, where the loss data corresponds to data lost due to compression of the image data.