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__7_REV5.fm - Rev. B 2/06 EN
155 ©2004 Micron Technology, Inc. All rights reserved.
MT9D111 - 1/3.2-Inch 2-Megapixel SOC Digital Image Sensor
Start-Up and Usage
Micron Confidential and Proprietary
transitions. In addition, the slope of the "S" curve is zero at the top (white) and bottom
(black) points. The slope of the linear region determines how much contrast is applied;
more contrast corresponds to a higher, midtone linear slope.
Figure 36: Contrast “S” Curve
The contrast values are shown in Table 40.
The contrast curve function is applied to the gamma curve points used (whether the
gamma curve points are predefined or user-uploaded).
S-curve is a function to correct image pixel values. When applied to pixel values, it typi-
cally compresses dark and bright tones, while stretching the midtones. Figure 37 shows
how input tone range is remapped to output tone range. Suppose we categorize input
pixel values as dark, midlevel, and bright. When no S-curve is applied, pixel values are
unchanged. That is, dark tones 0..x
1
map to same dark tones 0..x
1
=y
1
, and midlevel maps
to identical midlevel x
1
=x
2
, and bright maps to identical bright. When an S-curve is
applied, the mapping is changed. In particular, midtones are stretched (y
1
-y
2
)>(x
1
-x
2
),
causing increase of contrast. Here (y
1
-y
2
)/(x
1
-x
2
) is a measure of contrast. Value of 1 cor-
responds to no change; >1 and <1 indicate contrast increase and decrease, respectively.
Dark tones are compressed, y
1
<x
1
, causing suppression of noise.
Table 40: Contrast Values
Contrast Setting Definition
0 No contrast correction
1 Contrast slope = 1.25
2 Contrast slope = 1.50
3 Contrast slope = 1.75
4 Noise reduction contrast










