SPRACU7A December   2020  – March 2021 TDA4VM , TDA4VM-Q1

 

  1.   Trademarks
  2. 1 Introduction
  3. 2 Getting Started
    1. 2.1 Hardware Requirements
    2. 2.2 Software Requirements
    3. 2.3 Lab Requirements
  4. 3 IQ Tuning Prerequisites
    1. 3.1 Requirements for Tuning on Target
    2. 3.2 Requirements for Tuning on Simulator
  5. 4 VPAC Overview
    1. 4.1 Block Diagram
    2. 4.2 IP Overview
      1. 4.2.1 Lens Distortion Correction (LDC)
        1. 4.2.1.1 Features
      2. 4.2.2 Bilateral Noise Filter (BNF)
        1. 4.2.2.1 Features
      3. 4.2.3 Multi Scalar (MSC)
      4. 4.2.4 Vision Imaging Subsystem (VISS)
      5. 4.2.5 Subblocks
        1. 4.2.5.1 Raw Front End (RAWFE)
          1. 4.2.5.1.1 WDR Decompanding
          2. 4.2.5.1.2 WDR Merge
          3. 4.2.5.1.3 Defect Pixel Correction (DPC)
          4. 4.2.5.1.4 Lens Shading Correction (LSC)
          5. 4.2.5.1.5 Hardware 3A (H3A)
          6. 4.2.5.1.6 White Balance (WB)
        2. 4.2.5.2 NSF4 – 4th Generation Noise Filter
        3. 4.2.5.3 Global and Local Brightness Contrast Enhancement (GLBCE)
        4. 4.2.5.4 Flexible Color Processing (FCP)
  6. 5 Dataflow
  7. 6 IQ Tuning Process
    1. 6.1 Expectations of the Tool
      1. 6.1.1 User Expertise
      2. 6.1.2 Ease of Use
      3. 6.1.3 Troubleshooting
  8. 7 Imaging Software Architecture
    1. 7.1 Auto White Balance
    2. 7.2 AutoExposure
    3. 7.3 Dynamic Camera Configuration (DCC) Algorithm
  9. 8 Computing Tuning Parameters
  10. 9 Testing Tuning Parameters
    1. 9.1 On Target Platform – Compile Time Update
    2. 9.2 On Target Platform – Run Time Update From File System
  11. 10Live Tuning
    1. 10.1 Supported Features
      1. 10.1.1 RAW Capture
      2. 10.1.2 YUV Capture
      3. 10.1.3 AutoExposure Control
      4. 10.1.4 AutoWhiteBalance Control
      5. 10.1.5 Sensor Register Read/Write
      6. 10.1.6 Live DCC Update
        1. 10.1.6.1 Update Single Plugin
        2. 10.1.6.2 Update Multiple Plugins
  12. 11Revision History

6.1 Expectations of the Tool

Optimal image quality from a camera system is a function of the sensor, lens and ISP all tuned for best possible quality. TI provided tool and software are designed to tune TI ISP only. Before starting ISP tuning, it is strongly recommended that image sensor has been configured to get output best possible quality RAW images. To get optimal sensor configuration, please contact the sensor vendor. TI SDK includes sample configuration and tuning for some image sensors, but this is not guaranteed to be production ready.