PROJECT TITLE :

Double Line Image Rotation - 2015

ABSTRACT:

This paper proposes a quick algorithm for rotating images while preserving their quality. The new approach rotates pictures based mostly on vertical or horizontal lines in the initial image and their rotated equation within the target image. The proposed methodology could be a one-pass technique that determines a primarily based-line equation within the target image and extracts all corresponding pixels on the base-line. Floating-point multiplications are performed to calculate the base-line within the target image, and alternative line coordinates are calculated using integer addition or subtraction and logical justifications from the bottom-line pixel coordinates within the target image. To avoid a heterogeneous distance between rotated pixels within the target image, every line rotates to two adjacent lines. The proposed technique yields smart performance in terms of speed and quality in line with the results of an analysis of the computation speed and accuracy.