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

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/D
G%20ASPRS%20DRA.pdf
QUESTIONS???