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Ubaid Ur Rahman
 Displaying Coordinates of an Image
 High Dynamic Range(HDR) Images
 CNN
DISPLAYING THE
COORDINATES
 You would have noticed that capturing images with the sun (or any bright objects) in the
background usually doesn’t turn out well. The image comes out to be either too dark or too
bright depending on the focus.
 In image processing, computer graphics and photography, high dynamic range imaging (HDRI) is a set of
techniques that allows a greater dynamic range of exposures (the range of values between light and dark areas)
than normal digital imaging techniques.
 The intention of HDRI is to accurately represent the wide range of intensity levels found in real scenes ranging
from direct sunlight to shadows.
 Tone mapping is a technique used in image processing and computer graphics to map a set of colours to
 The CIFAR10 dataset contains 60,000 color images in 10 classes, with 6,000
images in each class. The dataset is divided into 50,000 training images and
10,000 testing images. The classes are mutually exclusive and there is no overlap
between them.
 Importing libraries
 Loading Dataset
 Create the convolutional base
 Adding Dense Layers
 model.summary()
 Compile and train the model
DIP lab 8.pptx

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DIP lab 8.pptx

  • 2.  Displaying Coordinates of an Image  High Dynamic Range(HDR) Images  CNN
  • 4.
  • 5.  You would have noticed that capturing images with the sun (or any bright objects) in the background usually doesn’t turn out well. The image comes out to be either too dark or too bright depending on the focus.  In image processing, computer graphics and photography, high dynamic range imaging (HDRI) is a set of techniques that allows a greater dynamic range of exposures (the range of values between light and dark areas) than normal digital imaging techniques.  The intention of HDRI is to accurately represent the wide range of intensity levels found in real scenes ranging from direct sunlight to shadows.  Tone mapping is a technique used in image processing and computer graphics to map a set of colours to
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.  The CIFAR10 dataset contains 60,000 color images in 10 classes, with 6,000 images in each class. The dataset is divided into 50,000 training images and 10,000 testing images. The classes are mutually exclusive and there is no overlap between them.
  • 13.  Importing libraries  Loading Dataset
  • 14.  Create the convolutional base
  • 15.  Adding Dense Layers  model.summary()
  • 16.  Compile and train the model