| Introduction | Methods | Results | Conclusions | References | Appendix I | Appendix II |
Cellphones is one of the fastest growing products in the world. According to Nokia reports, they produce 9 cellphones per second. Over the past few years cellphones have become more sophisticated, and most of them are now equipped with cameras. Camera phone companies are working hard to improve the image quality and keep the devices small at the same time.
In camera phone industry, there is no common standard in quantifying the image quality. The goal of this project is to find ways to evaluate and quantify camera phone image quality. We are given raw camera phone images and data to estimate sensor parameters for the ISET simulator. The imges were provided from various camera phone vendors, but were not specified which ones. We used the data to find parameters like dark current, read noise, DSNU, PSNU. From these parameters along with sensor spectral sensitivity we were able to predict the sensor image using ISET software. People use different methods to approach this problem. The advantage of our method is that it can be easily implemented and automated.