Dissertation > Excellent graduate degree dissertation topics show

A Decompression System Designed for Removing Dark Current

Author: ZhongChenFeng
Tutor: LiBinQiao
School: Tianjin University
Course: Microelectronics and Solid State Electronics
Keywords: CMOS Image Sensor Data Compression System Removing Dark Current DPCM-Huffman
CLC: TP212
Type: Master's thesis
Year: 2012
Downloads: 38
Quote: 0
Read: Download Dissertation

Abstract


Compared with CCD image sensor, the CMOS image sensor has low power consumption, and high integration. However, because of higher random noise and greater fixed pattern noise and dark current noise, the dynamic range and SNR of CMOS image sensor cannot reach the level of the CCD image sensor, which limits the CMOS image sensor in the field of application.In this paper, the inconsistencies of the CMOS image sensor data are demonstrated firstly, and the solution is made to eliminate dark current one by one pixel. Then a digital decompression system, based on built based on the SPI bus, is designed to eliminate dark current in the CMOS image sensor. The decompression system, based on DPCM-Huffman compression algorithm, compresses data and stores in Flash, and then the CMOS image sensor read the compressed data from Flash and decoded by Huffman-DPCM. Finally the dark current data is removed from the original image data and the CMOS dark current is removed. In the decompression system, the most important thing is the degree of compression and accuracy problems. In the data decompression system, the compression ratio increased to 3.22. And the MSE (mean square error) reduces to 15-20, which is close to the original data significantly. At the same time relative to the DCT compression algorithm and wavelet compression algorithm, the PSNR (peak signal to noise ratio) and SNR (signal to noise ratio) signals to improve the accuracy of the extracted 4-5 and 0.4-0.5. The design process is through advancing of algorithm and verification, Verilog design and verification. Finally, it downloaded to the FPGA after logic synthesis. The system is stable and efficient to achieve the stated objectives and finish the CMOS image sensor data compression and the removing of dark current.

Related Dissertations

  1. Noise Analysis and Image Processing of CMOS Image Sensor,TP212
  2. The Design of Microscope Image Processing and Analyzing System Based on CMOS Sensor,TP391.41
  3. X-Ray Digital Imaging System for Pipeline Girth Weld Inspection Based on CMOS Video Capture Card,U175
  4. Design and Implementation of Image Acquisition System Based on CMOS,TP274.2
  5. A high priority value of CMOS image sensor readout circuit design,TP212
  6. Research on high-speed CMOS smart camera,TB852.1
  7. CMOS image sensor parallel test development,TP212
  8. Research and Hardware Verification of CMOS Image Sensor White Blance and Contrast Enhancement,TP391.41
  9. Design of Low Power Pipelined ADC for Motion-Detection CMOS Image Sensor,TN792
  10. Design of Automatic Exposure Circuit Based on CMOS Image Sensor Chip,TP391.41
  11. Research of Capsule Endoscope Micro-system,TH776.1
  12. 9 Bit 10MS/s Low Power Pipeline ADC Design,TN792
  13. Image Obtaining System Based on CMOS Sensor,TP274.2
  14. S3C2440-based video acquisition system research and development field,TP274.2
  15. High-performance CIS control system and key technology research ISP,TP273
  16. Design and Measurement of a Column-Level Reset-Noise-Suppression Circuit for Global Shutter CIS,TP212
  17. Research of Hign-Speed Degital Camera Based on DSP,TN948.41
  18. Design and Implement of High Performance Testing and Estimation System for CMOS Image Sensor,TP311.52
  19. The Research on the Design Technology of Low-Power of CMOS Image Sensor,TP212
  20. Study on New Type CMOS Image Sensor,TP212.1
  21. DSP-based Depth Form Defocus System Implementation,TP274

CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation components,parts > Transmitter ( converter),the sensor
© 2012 www.DissertationTopic.Net  Mobile