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Tianhui (Lily) Yang and Kamyar Salahi CS194 SPRING 2020
There are many methods to create composite images, such as multi-resolution blending and alpha blending. These mechanisms focus on softening edges, mixing high and low frequencies of each pictures, or weighted-averaging. Despite how smooth the transitions may be, there is bound to be differences in color or style that we can easily pick up. Gradient domain fusion solves this problem by ignoring the overall intensity of images and focusing on the gradients, or how each pixel changes with repect to its neighbors.
When cropping images to fit a certain dimension we often have to chop off parts of pictures, losing important content in the process. The framing and the style of these cropped pictures are often much more different than how we originally intended. A way to circumvent this tension between constraints and artistic vision is through Seam Carving, which helps locate the least noticeable pixels to crop.
When viewing a scene, there is far more than what meets the eye. Often, scenes that may otherwise appear static contain minute temporal changes that are invisible to the human eye. However, these minute changes are still captured through sensory input and can thus be extracted and magnified to “enhance” otherwise imperceptible phenomena. In order to extract these minute temporal changes, we will be using a bandpass filter that will enable amplifications of particular frequency bands corresponding to a particular phenomena (ie. breathing rate or the human pulse).