CS/ECE 545 Test Images

These are typical test images. You should be able to find your own comparable images.

racepoint.img cols = 1024 (width) rows = 820 (height) colors = 1 This is the beach on Cape Cod. The sharp detail is useful for testing edge-based algorithms.

mickey.img cols = 538 (width) rows = 389 (height) colors = 3 This is the image of a malfunctioning popcorn popper. There are areas of high contrast and areas of low contrast but few of moderate contrast.

rebar.img cols = 320 (width) rows = 240 (height) colors = 3 Concrete reinforcing bar used in the Boston Central Artery project. Note the predominance of dark pixels and the color defects at sharp edges (caused by the digital camera).

david.img rows = 780 (height) colors = 3 The statue by Michaelangelo. Note the relatively few number of distinct colors in this image.

comet.img cols = 551 (width) rows = 302 (height) colors = 1 The Comet Hyakutake. Only 16 gray levels are used in the original image so it won't look like this image, which has been histrogram equalized.

fire.img cols = 513 (width) rows = 372 (height) colors = 1 This image uses the full range of gray levels and has fine detail.

friends.img cols = 640 (width) rows = 480 (height) colors = 3 This image has an unsually high level of contrast.

rover.img cols = 288 (width) rows = 279 (height) colors = 1 This is the NASA rover Sojourner on the surface of Mars. Note that the original of this image has already been histogram equalized.

io.img cols = 493 (width) rows = 493 (height) colors = 1 This is an image of Io, a moon of Saturn. Although the full range of gray levels has been used, they are not uniformly distributed.

logo.img cols = 500 (width) rows = 313 (height) colors = 1 This image is useful for testing algorithms based on derivatives. All gray scale changes are gradual except for the edge of the "sphere".

playboy.img cols = 600 (width) rows = 510 (height) colors = 1 This image is interesting because there are regions with poor focus, sharp focus, and everything between. This image is useful for testing algorithms which blur or sharpen or resize images.

telescope.img cols = 600 (width) rows = 400 (height) colors = 1 This image contains high- and low-contrast edges in all direction. It is worth looking at the histogram of this image before using it.

king.img cols = 400 (width) rows = 340 (height) colors = 1 This image contains large areas of smooth gray levels

galaxy.img cols = 743 (width) rows = 586 (height) colors = 1 This image contains many small star images - only one or two pixels.

EAP1.img (color) EAP2.img (grayscale) cols = 189 (width) rows = 247 (height) colors = 3 or 1 This image is useful for testing image restoration algorithms.

moon1.img (big) moon2.img (small) cols = 256 (width), cols =64 (moon1, moon2) rows = 256 (height), rows =64 (moon1, moon2) colors = 1 This image is useful for testing transforms because of the size (square and factors of 2^4) and because they contain the full range of gray levels and object sizes.