6. Conclusions and future scope - radhikahorti/Dynamic-Display-of-Histogram-and-Tone-curve GitHub Wiki

6.1 Conclusion

In this project,the main focus was on display of histogram and tone curve for the given frame.The team went through various stages of understanding how the ARGUS API works and its sample applications.After a thorough understanding of the same, the team was able to come up with its own sample code that displays the histogram and tone curve of the frame and record the same. To optimize the solution a study of various global and local tone curves was carried out by the team, after which the approach of global tone curves was adopted as they were found to be computationally efficient. To further optimize the code, already calculated values of the tone curve was passed through the input stream.

6.2 Future scope

The problem of reproducing a high dynamic range image in devices where the dynamic range is restricted has attracted a lot of interest in recent times. Our solution provides a way to display HDR images on our devices effectively through the use of tone curves. Our effort is not only useful to implement a tone mapping method but it also sets the stage for well-founded quality comparisons between different tone mapping methods.

This solution will be crucial in the photography industry as it will help photographers understand the tonal distribution of the image captured in a better way. Apart from this Histograms can also be used to be in equalizing the image and understanding its properties. It can also be used in various industrial applications like sorting based on color like in the fruit or pharmaceutical industry.