Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Digital Image Processing
RECONFIG '05 Proceedings of the 2005 International Conference on Reconfigurable Computing and FPGAs (ReConFig'05) on Reconfigurable Computing and FPGAs
Parametric cubic convolution scaler for enlargement and reduction of image
IEEE Transactions on Consumer Electronics
Digital zoom camera with image sharpening and suppression
IEEE Transactions on Consumer Electronics
Warped distance for space-variant linear image interpolation
IEEE Transactions on Image Processing
Image up-sampling using total-variation regularization with a new observation model
IEEE Transactions on Image Processing
Winscale: an image-scaling algorithm using an area pixel model
IEEE Transactions on Circuits and Systems for Video Technology
Online robot calibration based on vision measurement
Robotics and Computer-Integrated Manufacturing
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Image scaling is a very important technique and has been widely used in many image processing applications. In this paper, we present an edge-oriented area-pixel scaling processor. To achieve the goal of low cost, the area-pixel scaling technique is implemented with a low-complexity VLSI architecture in our design. A simple edge catching technique is adopted to preserve the image edge features effectively so as to achieve better image quality. Compared with the previous low-complexity techniques, our method performs better in terms of both quantitative evaluation and visual quality. The seven-stage VLSI architecture of our image scaling processor contains 10.4-K gate counts and yields a processing rate of about 200 MHz by using TSMC 0.18-µm technology.