Display Driver Autoencoder Circuit for 8K Image Data Wiring Reduction
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Solution Overview
Problem
The increasing demand for 8K broadcasting requires a significant amount of image data, leading to higher costs and power consumption due to the increased number of wirings needed for transmitting high-resolution images in electronic devices, particularly in display devices.
Innovation Solution
A semiconductor device with an encoder and decoder integrated in an autoencoder structure, utilizing a neural network for convolution processing and product-sum operations, reduces the circuit area and power consumption by converting and restoring image data efficiently, while using metal oxide transistors for improved performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of pixels is increased to achieve high-resolution display (e.g., 8K broadcasting), then the image quality and resolution are improved, but the number of wirings required for transmitting image data increases, leading to increased cost and power consumption
Solution Approach 1:
The image data transmission is segmented into two parts: feature-extracted data (encoded) and restored data (decoded). The encoder extracts essential features from the original image data, reducing the amount of data that needs to be transmitted through wirings. The decoder then restores the feature-extracted data back to the original image data at the display device, minimizing the wiring requirements while maintaining high-resolution display capability
Solution Approach 2:
Feature-extracted data serves as an intermediary between the original image data and the restored image data. Instead of transmitting the full high-resolution image data directly, the system transmits compressed feature-extracted data through the wirings, uses this intermediary representation to reconstruct the full-resolution image at the display device, thereby reducing the wiring burden while preserving image quality
2Measurement precision
If the number of pixels is increased to achieve high-resolution display (e.g., 8K broadcasting), then the image quality and resolution are improved, but the number of wirings required for transmitting image data increases, leading to increased cost
Solution Approach 1:
The image processing function is segmented between the encoder and decoder. The encoder performs feature extraction on the original image data, and the decoder performs restoration on the feature-extracted data. This segmentation allows the system to transmit only the essential feature data through the wirings rather than the complete high-resolution image data, significantly reducing the number of wirings required while maintaining the ability to display high-resolution images
Solution Approach 2:
Feature-extracted data acts as an intermediary that carries the essential information needed to reconstruct high-resolution images. By transmitting this compressed intermediary representation instead of the full image data, the system reduces the wiring complexity while preserving the capability to display 8K resolution images at the display device
3Quantity of substance
If feature-extracted data is transmitted instead of original image data, then the amount of data to be transmitted is reduced, but additional processing circuits (encoder and decoder) are required
Solution Approach 1:
The encoder and decoder circuits are merged into a single integrated semiconductor device. The encoder portion extracts features from the original image data, and the decoder portion restores the feature-extracted data back to the original image data, all within one device. This merging reduces the overall system complexity compared to having separate encoder and decoder devices, while still achieving significant data transmission volume reduction through feature extraction
Data Source
AI summary
A semiconductor device and electronic device with reduced power consumption are provided. The semiconductor device includes an encoder, a decoder, and a source driver circuit. An output terminal of the encoder is electrically connected to an input terminal of the source driver circuit, and an output terminal of the source driver circuit is electrically connected to an input terminal of the decoder. The encoder converts input image data into feature-extracted image data, and the decoder restores the feature-extracted image data to the original image data. In addition, provision of a circuit that performs convolution processing using a weight filter for the encoder enables calculation using a convolutional neural network.