Comparison at high spatial frequencies of two-pass and one-pass geometric transformation algorithms
Computer Vision, Graphics, and Image Processing
Journal of VLSI Signal Processing Systems
A Multiplication-Free Algorithm and A Parallel Architecture for Affine Transformation
Journal of VLSI Signal Processing Systems
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Proceedings of 2nd Workshop on General Purpose Processing on Graphics Processing Units
GPU Implementation of the Affine Transform for 3D Image Registration
IMVIP '09 Proceedings of the 2009 13th International Machine Vision and Image Processing Conference
Fast affine transform for real-time machine vision applications
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Convolution-based interpolation for fast, high-quality rotation of images
IEEE Transactions on Image Processing
An Efficient Architecture for 3-D Discrete Wavelet Transform
IEEE Transactions on Circuits and Systems for Video Technology
An Efficient Pass-Parallel Architecture for Embedded Block Coder in JPEG 2000
IEEE Transactions on Circuits and Systems for Video Technology
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Affine transform is widely used in the high speed image processing systems. This transform plays an important role in various high speed applications like Optical quadrature microscopy (OQM), image stabilisation in digital camera and image registration etc. In these applications, transformations of image consume most of the execution time. Hence, for high speed imaging systems, acceleration of Affine transform is very much sought for. In this paper, the pipelined architecture implementation of a proposed inherent parallel algorithm for Affine transform has been presented. The acceleration of the image transformation will help in reducing the processing time of high speed imaging systems. The architecture is mapped in Field programmable gate array (FPGA) and the result shows that the proposed algorithm is almost 4 times faster than the conventional algorithm while retaining the image quality. Using the proposed algorithm, an image of size 1,920 脳 1,080 can be transformed with a frame rate of 540 frames per second and the multiplane image synthesis for image stabilisation on the same digital image can be performed with a frame rate of 65 fps.