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Image processing system architecture based on neural network

An image processing and system architecture technology, applied in the field of image processing system architecture based on neural network, can solve problems such as low-speed operation of the system and limitations of image processing, and achieve the effect of high degree of freedom and improved flexibility

Pending Publication Date: 2019-08-09
SHANGHAI INTEGRATED CIRCUIT RES & DEV CENT
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Problems solved by technology

Even if the speed of each system is very fast, due to the limitation of transmission bandwidth, the whole system can only run at a low speed; 3. Image processing limitations
The general algorithm, once written into the ISP, cannot be changed, so the ability of the algorithm to process images is limited to the image processing features that the algorithm can support, and there will be certain limitations on the flexibility of image processing

Method used

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  • Image processing system architecture based on neural network
  • Image processing system architecture based on neural network
  • Image processing system architecture based on neural network

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Embodiment Construction

[0025] In order to make the content of the present invention clearer and easier to understand, the content of the present invention will be further described below in conjunction with the accompanying drawings. Of course, the present invention is not limited to this specific embodiment, and general replacements known to those skilled in the art are also covered within the protection scope of the present invention.

[0026] The following is attached Figure 1-7 The present invention will be described in further detail with specific examples. It should be noted that the drawings are all in a very simplified form, using imprecise scales, and are only used to facilitate and clearly achieve the purpose of assisting in describing the present embodiment.

[0027] See figure 2 , the neural network-based image processing system architecture of the present invention includes a pixel array and a neural network. The role of the pixel (PD) array is to convert the optical signal into an...

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Abstract

The invention discloses an image processing system architecture. The image processing system architecture comprises a pixel array, a synaptic array and a neuron circuit array. The synaptic array comprises multiple stages of synaptic arrays. The neuron circuit array comprises multiple stages of neuron circuit arrays, and any two neurons in each two stages of neuron circuit arrays are respectively connected by one synaptic in one synaptic array. According to the architecture, image processing does not need extra conversion between analog and digital signals, real-time parallel processing can berealized, and the processing speed is improved.

Description

technical field [0001] The invention relates to the field of CMOS integrated circuit design, in particular to an image processing system architecture based on a neural network. Background technique [0002] With the development of CMOS integrated circuit technology, electronic imaging products are more and more widely used in daily life and industrial production. Correspondingly, image processing technology can be used as an automatic image processing technology and plays an important role in key fields such as intelligent monitoring, aerospace, intelligent driving, rapid identification, and accurate capture. The development of artificial intelligence algorithms has also accelerated the breadth of image processing. In today's applications, image processing systems are often composed of two parts, such as figure 1 shown. The former part is an image sensor, which mainly includes a photosensitive pixel array and a corresponding analog-to-digital conversion circuit, which con...

Claims

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Application Information

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IPC IPC(8): G06T1/20G06N3/063
CPCG06T1/20G06N3/063Y02D10/00
Inventor 赵宇航温建新皮常明沈灵曾夕
Owner SHANGHAI INTEGRATED CIRCUIT RES & DEV CENT
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