Class 34 — April 13

Image visualization

The greatest artists — Learned at the feet of masters — Copy and improve


Look both ways


Zoom


To do


Agenda


Image manipulator


Some image manipulation descriptions


Homework


I see you

mandrill

mandrill

Duplicate

mandrill

mandrill

Bluing

mandrill

mandrill

Monotone

mandrill

mandrill

Mirror

mandrill

mandrill

Flip

mandrill

mandrill

Sepia

mandrill

mandrill

Grayscale

mandrill

mandrill

Clockwise rotation

mandrill

mandrill

Palette reduction

mandrill

mandrill

Zooming

mandrill

mandrill

Pixelate


Basic photo-manipulation problem-solving Python function

def manip( original, size, color, where ) :

  ''' Provide a pattern for image manipulation

  '''

  # set dimensions of the new image

  nw, nh = size( original )

  # get a new appropriately sized image

  new_image = Image.new( 'RGB', ( nw, nh ) )

  # fill in every pixel of the new image

  for nx in range( 0, nw ) : # consider every x value for the new image

  for ny in range( 0, nh ) : # in tandem with every y value for the image

  # set the spot to be filled in the new image

  nspot = ( nx, ny )

  # determine the corresponding spot of interest in the original

  ospot = where( nspot, original )

  # get the pixel at the ospot

  opixel = original.getpixel( ospot )

  # determine the pixel for the new image

  npixel = color( opixel )

  # set the nspot in the new image

  new_image.putpixel( nspot, npixel )

  # return the filled in new image

  return new_image



 


 
  © 2020 Jim Cohoon   Resources from previous semesters are available.