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Integration of ISP
and FPGA with
Image Sensors
*This presentation is the intellectual property of Logic Fruit Technologies . Any plagiarism or misuse is
punishable according to Indian Laws.
March 2023
Image processing has come a long way in recent years. One of the most significant advances has
been the integration of Image Signal Processing and Field Programmable Gate Arrays.
This has allowed faster and more efficient image processing and better image quality. Regarding
capturing and processing images, a few factors need to be considered. The first step is
understanding the basic concepts of image processing.
2
What is Image Processing
Image processing is the manipulation and analysis of digital images to extract useful information or
improve the image.
It is a broad field encompassing many techniques and applications and involves using computer
algorithms and hardware to process images.
Overview of Image Signal Processing (ISP) in
Image Processing
ISP stands for “Image Signal Processing.” It refers to processing digital images or video signals to enhance
or extract useful information.
ISP typically involves a series of operations applied to the raw data captured by an image sensor in
a digital camera or other devices. These operations may include preprocessing, demosaicing, color
correction, exposure correction, sharpening, and compression.
ISP can be implemented in software using algorithms executed on a central processing unit (CPU) or
graphics processing unit (GPU).
3
Image sensor technologies and their capabilities
An image sensor is a device that is used to capture images or videos in digital form. It is a critical component
of cameras and other imaging systems and is responsible for converting light into a digital signal that can be
processed and stored.
4
Overview of Field Programmable Gate Array
(FPGA) in Image Processing
A field-programmable gate array (FPGA) is a programmable hardware device that can implement digital
circuits and systems.
FPGAs are made up of an array of configurable logic blocks (CLBs), and programmable interconnects,
which can be programmed to implement a wide range of digital logic functions.
In image processing, FPGAs can implement image signal processing (ISP) algorithms, pipelines, and other
image processing functions.
• Medical imaging
• Surveillance
• Robotics
• Computer vision
• Augmented reality
5
There are several different technologies used in image sensors, including
• Charge-coupled device (CCD) sensors:
• Complementary metal-oxide-semiconductor (CMOS) sensors:
• Hybrid sensors:
• Thermal Image Sensor:
FPGAs and ISPs can be used for a wide variety of image-
processing applications. Some examples include:
There are several ways in which FPGAs and ISPs
can be integrated with image sensors:
• On-board integration
• External integration
• Hybrid Integration
FPGAs and ISPs are both hardware platforms that can be used for image processing. In conclusion, the
integration of ISP and FPGA with image sensors is a significant development in the field of image processing.
To know more about the Integration of ISP and FPGA with Image Sensors, see
https://www.logic-fruit.com/blog/fpga/integration-of-isp-and-fpga/
6
Want to know more?
Click on the below button, to learn more about
the Integration of ISP and FPGA with Image
Sensors.
Learn More
TALK TO US TODAY
Sales@logic-fruit.com
www.logic-fruit.com

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Integration of ISP and FPGA with Image Sensors

  • 1. Integration of ISP and FPGA with Image Sensors *This presentation is the intellectual property of Logic Fruit Technologies . Any plagiarism or misuse is punishable according to Indian Laws. March 2023
  • 2. Image processing has come a long way in recent years. One of the most significant advances has been the integration of Image Signal Processing and Field Programmable Gate Arrays. This has allowed faster and more efficient image processing and better image quality. Regarding capturing and processing images, a few factors need to be considered. The first step is understanding the basic concepts of image processing. 2 What is Image Processing Image processing is the manipulation and analysis of digital images to extract useful information or improve the image. It is a broad field encompassing many techniques and applications and involves using computer algorithms and hardware to process images.
  • 3. Overview of Image Signal Processing (ISP) in Image Processing ISP stands for “Image Signal Processing.” It refers to processing digital images or video signals to enhance or extract useful information. ISP typically involves a series of operations applied to the raw data captured by an image sensor in a digital camera or other devices. These operations may include preprocessing, demosaicing, color correction, exposure correction, sharpening, and compression. ISP can be implemented in software using algorithms executed on a central processing unit (CPU) or graphics processing unit (GPU). 3
  • 4. Image sensor technologies and their capabilities An image sensor is a device that is used to capture images or videos in digital form. It is a critical component of cameras and other imaging systems and is responsible for converting light into a digital signal that can be processed and stored. 4 Overview of Field Programmable Gate Array (FPGA) in Image Processing A field-programmable gate array (FPGA) is a programmable hardware device that can implement digital circuits and systems. FPGAs are made up of an array of configurable logic blocks (CLBs), and programmable interconnects, which can be programmed to implement a wide range of digital logic functions. In image processing, FPGAs can implement image signal processing (ISP) algorithms, pipelines, and other image processing functions.
  • 5. • Medical imaging • Surveillance • Robotics • Computer vision • Augmented reality 5 There are several different technologies used in image sensors, including • Charge-coupled device (CCD) sensors: • Complementary metal-oxide-semiconductor (CMOS) sensors: • Hybrid sensors: • Thermal Image Sensor: FPGAs and ISPs can be used for a wide variety of image- processing applications. Some examples include:
  • 6. There are several ways in which FPGAs and ISPs can be integrated with image sensors: • On-board integration • External integration • Hybrid Integration FPGAs and ISPs are both hardware platforms that can be used for image processing. In conclusion, the integration of ISP and FPGA with image sensors is a significant development in the field of image processing. To know more about the Integration of ISP and FPGA with Image Sensors, see https://www.logic-fruit.com/blog/fpga/integration-of-isp-and-fpga/ 6
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