Datasheet
Table Of Contents
- 1/3.2-Inch System-On-A-Chip (SOC) CMOS Digital Image Sensor
- Features
- Applications
- Ordering Information
- General Description
- Feature Overview
- Typical Connection
- Ballout and Interface
- Architecture Overview
- Registers and Variables
- Registers
- Registers
- IFP Registers, Page 1
- IFP Registers, Page 2
- JPEG Indirect Registers
- Table 8: JPEG Indirect Registers (See Registers 30 and 31, Page 2)
- Firmware Driver Variables
- Table 9: Drivers IDs
- Table 10: Driver Variables-Monitor Driver (ID = 0)
- Table 11: Driver Variables-Sequencer Driver (ID = 1)
- Table 12: Driver Variables-Auto Exposure Driver (ID = 2)
- Table 13: Driver Variables-Auto White Balance (ID = 3)
- Table 14: Driver Variables-Flicker Detection Driver (ID = 4)
- Table 15: Driver Variables-Auto Focus Driver (ID = 5)
- Table 16: Driver Variables-Auto Focus Mechanics Driver (ID = 6)
- Table 17: Driver Variables-Mode/Context Driver (ID = 7)
- Table 18: Driver Variables-JPEG Driver (ID = 9)
- Table 19: Driver Variables-Histogram Driver (ID = 11)
- MCU Register List and Memory Map
- JPEG Indirect Registers
- Output Format and Timing
- Sensor Core
- Feature Description
- PLL Generated Master Clock
- PLL Setup
- Window Control
- Pixel Border
- Readout Modes
- Figure 20: 6 Pixels in Normal and Column Mirror Readout Modes
- Figure 21: 6 Rows in Normal and Row Mirror Readout Modes
- Table 30: Skip Values
- Figure 22: 8 Pixels in Normal and Column Skip 2x Readout Modes
- Figure 23: 16 Pixels in Normal and Column Skip 4x Readout Modes
- Figure 24: 32 Pixels in Normal and Column Skip 8x Readout Modes
- Figure 25: 64 Pixels in Normal and Column Skip 16x Readout Modes
- Table 31: Row Addressing
- Table 32: Column Addressing
- Frame Rate Control
- Context Switching
- Integration Time
- Flash STROBE
- Global Reset
- Analog Signal Path
- Analog Inputs AIN1-AIN3
- Firmware
- Firmware
- Start-Up and Usage
- General Purpose I/O
- Introduction
- GPIO Output Control Overview
- Waveform Programming
- Notification Signals
- Digital and Analog Inputs
- GPIO Software Drivers
- Auto Focus
- Figure 42: Search for Best Focus
- Figure 43: Scene with Two Potential Focus Targets at Different Distances from Camera
- Figure 44: Dependence of Luminance-Normalized Local Sharpness Scores on Lens Position
- Figure 45: Example of Position Weight Histogram Created by AF Driver
- Figure 46: Auto Focus Windows
- Figure 47: Computation of Sharpness Scores and Luminance Average for an AF Window
- Table 41: Examples of AF Filters that can be Programmed into the MT9D111
- Spectral Characteristics
- Electrical Specifications
- Packaging
- Appendix A: Two-Wire Serial Register Interface
- Protocol
- Sequence
- Bus Idle State
- Start Bit
- Stop Bit
- Slave Address
- Data Bit Transfer
- Acknowledge Bit
- No-Acknowledge Bit
- Page Register
- Sample Write and Read Sequences
- Figure 52: WRITE Timing to R0x09:0-Value 0x0284
- Figure 53: READ Timing from R0x09:0; Returned Value 0x0284
- Figure 54: WRITE Timing to R0x09:0-Value 0x0284
- Figure 55: READ Timing from R0x09:0; Returned Value 0x0284
- Figure 56: Two-Wire Serial Bus Timing Parameters
- Table 46: Two-wire Serial Bus Characteristics
- Revision History
PDF: 09005aef8202ec2e/Source: 09005aef8202ebf7 Micron Technology, Inc., reserves the right to change products or specifications without notice.
MT9D111__2_REV5.fm - Rev. B 2/06 EN
24 ©2004 Micron Technology, Inc. All rights reserved.
MT9D111 - 1/3.2-Inch 2-Megapixel SOC Digital Image Sensor
Architecture Overview
Micron Confidential and Proprietary
Scene Evaluative Algorithm
A scene evaluative AE algorithm is available for use in snapshot mode. The algorithm
performs scene analysis and classification with respect to its brightness, contrast and
composure and then decides to increase, decrease or keep original exposure target. It
makes most difference for backlight and bright outdoor conditions.
Auto White Balance
The MT9D111 has a built-in auto white balance (AWB) algorithm designed to compen-
sate for the effects of changing spectra of the scene illumination on the quality of the
color rendition. This sophisticated algorithm consists of two major parts: a measure-
ment engine performing statistical analysis of the image and a driver performing the
selection of the optimal color correction matrix, digital, and sensor core analog gains.
While default settings of these algorithms are adequate in most situations, the user can
re-program base color correction matrices, place limits on color channel gains, and con-
trol the speed of both matrix and gain adjustments. Unlike simple white balancing algo-
rithms found in many PC cameras, the MT9D111 AWB does not require the presence of
gray or white elements in the image for good color rendition. The AWB does not attempt
to locate "brightest" or "grayest" element of the image but instead performs sophisti-
cated image analysis to differentiate between changes in predominant spectra of illumi-
nation and changes in predominant colors of the scene. While defaults are suitable for
most applications, a wide range of algorithm parameters can be overwritten by the user
via the serial interface.
Flicker Detection
Flicker occurs when the integration time is not an integer multiple of the period of the
light intensity. The automatic flicker detection block does not compensate for the flicker,
but rather avoids it by detecting the flicker frequency and adjusting the integration time.
For integration times below the light intensity period (10ms for 50Hz environment),
flicker cannot be avoided.