1. Hey! That “Looks” Delicious!
Image Enhancement and Food Imagery
Paulina Bugembe, Greg Diamond

2. Food Marketing and Imagery
Food imagery and photography is a surprisingly big industry
Menu design
Advertisements
Looking at various food images on the net:
Images have bright, vivid colors
Sharp edges
What makes an image of food appealing to you?

3. Goals How do we create these vivid, sharp images?? What techniques??
We’ve found four main techniques that are seen very often in food imagery:
Color enhancement
Saturation Correction
Image Sharpening
Contrast Stretching
The goal of our project was to combine these techniques into a simple software package.

4. Color Enhancement
Enhancing a certain color in an image can sometimes make it look more appealing.
RGB Sliders
Using the RGB sliders in our GUI, users can vary the RGB levels in an image.
Users can find the color levels of their liking.

5. Saturation Correction
Images with low saturation have “not enough color” or are “washed out”
Saturation/Hue Sliders
User can vary the saturation and hue of an image
How we did it…
Transformed the RGB values into HSI values
Altered the hue and saturation by percentage value determined by the user
Transformed the HSI values back to RGB

6. Image Sharpening Laplacian Filter [-1 -1 -1] , [-1 9 -1] , [-1 -1 -1]
Enhances the edges of the image
Results in a “sharper” image

7. Contrast Stretching Power Law Contrast Stretching
Perform the power law transformation s = T(r) = crγ
Do the transformation on each of the R, G, and B channels
Compresses the darker part and enhances the lighter part of the spectrum

8. References Digital Image Processing, Gonzalez and Woods Wikipedia
ECE 533 Digital Image Processing Class Notes
“Automatic Contrast Enhancement of Quickbird Imagery,” C. Padwick & J. Haris

9. QUESTIONS???