A hardware computing system and method for image up-sampling based on the Canny algorithm

By developing an image upsampling hardware computing system based on the Canny algorithm, the problems of high hardware resource consumption and slow computing time are solved, and the improvement of image edges and details is achieved. This system is suitable for image processing and video communication.

CN115526903BActive Publication Date: 2026-07-24NANJING NINGQI INTELLIGENT COMPUTING CHIP RES INST CO LTD
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING NINGQI INTELLIGENT COMPUTING CHIP RES INST CO LTD
Filing Date
2022-11-01
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

In existing technologies, image upsampling operations consume a lot of hardware resources and have a slow computation time, making them impossible to implement simply through integrated circuit design. Furthermore, traditional methods result in severe jagged edges on the images, while neural network methods consume a lot of computational resources and cannot be processed in real time.

Method used

A hardware computing system for image upsampling based on the Canny algorithm is adopted, including an IP control unit, an SRAM storage module, an image boundary and core interpolation control module, linear and bicubic interpolation units, a synthetic gradient calculation unit, and an edge detection and replacement unit. By using line-by-line calculation and edge optimization methods, the hardware resource consumption is reduced and the computing speed is improved.

Benefits of technology

It achieves image edge and detail improvement with low hardware resource consumption, can process images in real time, reduces storage resource consumption and improves computing speed, and is suitable for integrated circuit design, image processing and video communication fields.

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Abstract

The application discloses a kind of hardware computing system and method based on Canny algorithm's image upsampling, it is related to image processing field.When current 4 times or above times upsampling operation is carried out to image, hardware resource consumption is big, calculation is slow, cannot be simply realized by integrated circuit design.This application presents upsampling system and method, and the upper and lower boundary of image is generally interpolated, and the core interpolation calculation is used to the core part of image.Core interpolation algorithm repeatedly calls image core interpolation module, can be interpolated by row, system only needs to store a part of picture each time, can improve the improvement of image edge and detail in upsampling process with low hardware resource consumption as cost, improve operation speed by multi-path parallel computation, realize real-time processing to image, can be completed by integrated circuit from low resolution to super high resolution RGB image upsampling.
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