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

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?

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.

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.

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

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

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

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 http://www.digitalglobe.com/downloads/asprs/DG%20ASPRS%20DRA.pdf

QUESTIONS???