Complete Focal Plane Compression Based on CMOS Image Sensor Using Predictive Coding

Complete Focal Plane Compression Based on CMOS Image Sensor Using Predictive Coding

In this paper, a CMOS image sensor （CIS） is proposed, which can accomplish both decorrelation and entropy coding of image compression directly on the focal plane. The design is based on predictive coding for image decorrelation. The predictions are performed in analog domain by 2 × 2 pixel units. Bo...

Full description

Saved in:
Bibliographic Details
Published in:Transactions of Tianjin University Vol. 21; no. 1; pp. 83 - 89
Main Author: 姚素英 于潇 高静 徐江涛
Format: Journal Article
Language:English
Published: Heidelberg Tianjin University 2015
School of Electronics and Information Engineering, Tianjin University, Tianjin 300072, China
Subjects:
CMOS图像传感器
Engineering
Humanities and Social Sciences
Mechanical Engineering
multidisciplinary
Science
二进制模式
图像压缩
焦平面
编码图像
译码
预测性
预测残差
entropy coder
CMOS image sensor
predictive coding
focal plane compression
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, a CMOS image sensor （CIS） is proposed, which can accomplish both decorrelation and entropy coding of image compression directly on the focal plane. The design is based on predictive coding for image decorrelation. The predictions are performed in analog domain by 2 × 2 pixel units. Both the prediction residuals and original pixel values are quantized and encoded in parallel. Since the residuals have a peak distribution around zero, the output codewords can be replaced by the valid part of the residuals＇ binary mode. The compressed bit stream is accessible directly at the output of CIS without extra disposition. Simulation results show that the proposed approach achieves a compression rate of 2.2 and PSNR of 51 on different test images.
Bibliography:In this paper, a CMOS image sensor （CIS） is proposed, which can accomplish both decorrelation and entropy coding of image compression directly on the focal plane. The design is based on predictive coding for image decorrelation. The predictions are performed in analog domain by 2 × 2 pixel units. Both the prediction residuals and original pixel values are quantized and encoded in parallel. Since the residuals have a peak distribution around zero, the output codewords can be replaced by the valid part of the residuals＇ binary mode. The compressed bit stream is accessible directly at the output of CIS without extra disposition. Simulation results show that the proposed approach achieves a compression rate of 2.2 and PSNR of 51 on different test images.
12-1248/T
Yao Suying, Yu Xiao, Gao Jing, Xu Jiangtao （School of Electronics and Information Engineering, Tianjin University, Tianjin 300072, China）
CMOS image sensor; focal plane compression; predictive coding; entropy coder
ISSN:1006-4982
1995-8196
DOI:10.1007/s12209-015-2440-x