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Hey! That “Looks” Delicious!

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

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Hey! That “Looks” Delicious!

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

  9. QUESTIONS???

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