Parallel Statistical Units for Real-Time Image Correction
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Solution Overview
Problem
Existing image display control technologies face challenges in efficiently and quickly acquiring statistical information for real-time video image correction, particularly in reducing luminance while maintaining image quality, due to complex circuit configurations and high power consumption.
Innovation Solution
An image display control device with a statistical information acquisition section that includes multiple statistical units with comparators and buffers, allowing for parallel processing of luminance and chroma data, and a calculator that generates correction coefficients for adaptive image correction, while minimizing circuit scale and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If multiple dedicated hardware pieces are used to perform calculations in parallel, then real-time capability is ensured, but occupied area and power consumption increase
Solution Approach 1:
The statistical information acquisition section is divided into multiple statistical units (first statistical unit, second statistical unit, etc.), each responsible for acquiring statistical information of a specific color component (luminance, red chroma, blue chroma). This segmentation allows parallel processing of different statistical acquisitions simultaneously, achieving real-time capability without requiring complete duplication of all hardware components.
Solution Approach 2:
Each statistical unit is designed as a universal module that can acquire statistical information for different color components by receiving different input signals (luminance signal, red chroma signal, blue chroma signal). This multi-functionality reduces the need for dedicated hardware for each color component, thereby reducing overall occupied area and power consumption while maintaining real-time processing capability.
2Adaptability or versatility
If statistical information is acquired for multiple color components in real time, then adaptive image correction is improved, but circuit configuration becomes more complicated
Solution Approach 1:
The circuit is segmented into independent statistical units, each handling a specific color component (luminance, red chroma, blue chroma). Each unit has the same basic structure (comparator, counter, accumulator), but they process different inputs. This segmentation simplifies the overall circuit design by using modular, reusable blocks rather than a complex monolithic structure.
Solution Approach 2:
Each statistical unit is optimized for its specific local function (acquiring statistical information for a particular color component), while the overall system integrates these specialized units to achieve comprehensive adaptive image correction. This allows each unit to be simple and efficient while the collection provides complex adaptive functionality.
3Use of energy by moving object
If luminance reduction is performed to reduce power consumption, then energy efficiency is improved, but image quality deteriorates
Solution Approach 1:
The system continuously acquires statistical information about the image signal (luminance distribution, chroma distribution) and uses this feedback to dynamically adjust the luminance reduction level. The calculator computes correction coefficients based on the acquired statistics, and the image correction section applies selective luminance correction that preserves image quality while maximizing power savings.
Solution Approach 2:
The system changes the luminance correction parameter dynamically based on the acquired statistical information. When statistical analysis shows that an image has low luminance content, the system applies stronger luminance reduction to save power. When the image has high luminance content or specific color characteristics, the system adjusts the correction parameter to preserve image quality. This adaptive parameter adjustment resolves the contradiction between power consumption and image quality.
Data Source
AI summary
An image display control device includes a statistical information acquisition section that quickly acquires statistical information of a video image. In the statistical information acquisition section, an image signal of a video image is parallelly input to each of a plurality of statistical value units (EX0 to EX255) having an identical configuration to simultaneously update a luminance count value. A luminance maximum value/minimum value detector and a standard deviation calculation section respectively calculate a luminance maximum value/minimum value and a standard deviation value at high speed based on the count values. Statistical information relating to chroma is also acquired by providing a luminance total value unit (ES(Y)), a blue chroma total value unit (ES(Cb)), and a red chroma total value unit (ES(Cr)) having an identical configuration. The supply of an operation clock signal to each circuit is suspended using a gate circuit, if necessary.