PetykiewiczBuckley

Introduction

Haze is caused by the scattering of Rayleigh and Mie light by particles in the atmosphere, such as droplets of water or smoke. Restoring an image to non-hazy conditions is desirable because we like clear days. Since the amount of Rayleigh scattering increases proportional to $1/\lambda^4$, for longer wavelengths of light there will be less scattering, and thus the image will appear less hazy at these wavelengths. Here, we investigate using NIR and red spectral data to add detail and thus dehaze images, using a modified version of the algorithm described in [1]. This algorithm takes detail from the long wavelength channel and adds it to a luminance channel to dehaze the image. Our investigation includes data from 400-1000 nm, and we investigate the possibilities of implementing a NIR filter for dehazing and of using the red camera sensor from three different commercial cameras to dehaze all three color channels.

Methods

- Describe your algorithm or approach. Detail any issues or problems that were particularly important. Emphasize the parts of the project that you wrote (instead of ISET or downloaded code). Describe the analysis in enough detail so that someone could understand and repeat your analysis. What data and software did you use? What were the ideas of the algorithm and data analysis?

Results

- Organize your results in a good logical order (not necessarily historical order). Include relevant graphs and/or images. Make sure graph axes are labeled. Make sure you draw the reader's attention to the key element of the figure. The key aspect should be the most visible element of the figure or graph. Help the reader by writing a clear figure caption.

Conclusions

- Describe what you learned. What worked? What didn't? Why? What would you do if you kept working on the project?

References

_ List references. Include links to papers that are online.

Appendix I

- Upload source code, some result images, etc, and give a description of each link. In some cases, your acquired data may be too large to store practically. In this case, use your judgement (or consult one of us) and only link the most relevant data. Be sure to describe the purpose of your code and to edit the code for clarity. The purpose of placing the code online is to allow others to verify your methods and to learn from your ideas. It should be possible for someone else to generate result images using your code.

Appendix II

- (for groups only) - Work breakdown. Explain how the project work was divided among group members.

• Jan and Sonia split the work exactly in half.