Pixel Data Compression Device for Low Gray Level Quality
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Solution Overview
Problem
Existing pixel data compression methods result in data loss, particularly at low gray levels, which deteriorates display quality due to the same compression techniques being applied to both high and low gray-level images.
Innovation Solution
A pixel data compression device that compares the number of bits of first and second pixel data with reference bits to determine the format of compressed data, optimizing the size and content of flag, first data, and second data regions to minimize data loss, especially at low gray levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the same compression method is used for low and high gray levels, then data transmission efficiency is improved, but display quality deteriorates due to observable data loss at low gray levels
Solution Approach 1:
The patent applies different compression methods based on the gray level characteristics of the image data. For low gray level images, a first compression method is used that preserves more precision, while for high gray level images, a second compression method is applied. This local differentiation of compression strategies resolves the contradiction by adapting the compression intensity to the specific characteristics of each gray level range, thereby maintaining display quality while preserving overall transmission efficiency.
Solution Approach 2:
The patent changes the compression parameters based on the gray level of the input image. By detecting whether the image is in a low or high gray level state, the system dynamically adjusts the compression algorithm parameters to optimize both transmission efficiency and display quality for each condition, rather than using a fixed compression method.
2Quantity of substance
If compression is applied to reduce data size, then storage space requirements are reduced, but data loss occurs particularly at low gray levels
Solution Approach 1:
The patent applies different compression intensities to different gray level ranges. For low gray level data where human perception is more sensitive to changes, a compression method with lower information loss is used. For high gray level data, more aggressive compression can be applied since the same absolute change is less perceptible. This resolves the contradiction by locally optimizing the compression ratio based on the gray level characteristics.
Solution Approach 2:
The compression algorithm dynamically changes its parameters based on the input data's gray level. When low gray level data is detected, the system adjusts compression parameters to minimize data loss. When high gray level data is present, the parameters are adjusted to maximize compression ratio, thereby resolving the contradiction between data size reduction and information preservation.
3Speed
If aggressive compression is used to increase transmission speed, then data transmission efficiency is improved, but display quality deteriorates due to increased data loss
Solution Approach 1:
The patent implements speed-quality optimization by applying different compression strategies to different gray level ranges. For low gray level images, a compression method that maintains higher quality is used, accepting slightly lower transmission speed. For high gray level images, more aggressive compression is applied to maximize transmission speed since the quality impact is less perceptible. This local differentiation resolves the contradiction between transmission speed and display quality.
Solution Approach 2:
The system dynamically changes compression parameters based on the gray level of the transmitted data. When low gray level data is detected, parameters are adjusted to preserve quality at the cost of some transmission speed. When high gray level data is present, parameters are optimized for maximum transmission speed with acceptable quality loss, thereby resolving the speed-quality trade-off.
Data Source
AI summary
A pixel data compression device is provided. The device includes: a first judgment unit for comparing a number of bits of a value of first pixel data and a number of bits of a value of second pixel data with a number of reference bits; a format determination unit for determining a format of compressed data, the format corresponding to the number of bits of the value of the first pixel data and the number of bits of the value of the second pixel data; and a compression unit for generating the compressed data, which corresponds to the format of the compressed data, from the first pixel data and the second pixel data. The compressed data includes a flag region, a first data region, and a second data region.