Your goal is to synthesize an output image, J[y; x], where J[y; x] might be intensity, or RGB vector, or whatever, y is row number (measured from top to bottom), x is column number (measured …

This paper systematically introduces the interpolation algorithm and spatial transformation technique in image rotation processing.

In this paper, we propose a fast implementation of image rotation with Bre-senham’s algorithm [9–11], which can rapidly rasterize the defined domain of the rotated image, and is convenient …

How do you compute the transformation? Given a set of matched feature points: point in one image point in the other image and a transformation: transformation function parameters

In this paper, we present a high speed image rotation algorithm using augmented 2-step shear operations. The time complexity of the algorithm significantly lowered in terms of the number …

Here we present a novel content-aware image rotation approach based on gradient map: first, compute the gradient map for the image which describes object structure of the image.

Get the color of pixel to be rotated. Applies the rotation and copies the color. The program above applies the transpose matrix operation on the original image and also applies a mirroring effect …