Fundamentals of digital image processing
Fundamentals of digital image processing
Digital Image Processing: PIKS Inside
Digital Image Processing: PIKS Inside
Digital Image Processing
Wavelet Algorithms for High-Resolution Image Reconstruction
SIAM Journal on Scientific Computing
An Image Resizing Algorithm for Binary Maps
ENC '04 Proceedings of the Fifth Mexican International Conference in Computer Science
Adaptive Interpolation Algorithm for Real-time Image Resizing
ICICIC '06 Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 2
An image interpolator with image improvement for LCD controller
IEEE Transactions on Consumer Electronics
Parameter estimation in Bayesian high-resolution image reconstruction with multisensors
IEEE Transactions on Image Processing
Winscale: an image-scaling algorithm using an area pixel model
IEEE Transactions on Circuits and Systems for Video Technology
A new image scaling algorithm based on the sampling theorem of papoulis
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
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In this paper, we propose a new scaling algorithm which performs the scaling up/down transform using an area pixel model rather than a point pixel model. The proposed algorithm uses a variable number of pixels of an original image to calculate a pixel of the scaled image. Our algorithm has good characteristics such as fine-edge and good smoothness. Different quality parameters (standard deviation, root mean square error, aliasing, edge map) are used to compare our algorithm with four image scaling algorithms: nearest neighbour, bilinear, bicubic and winscale algorithms. The results show that our algorithm generally produces images of better quality with few aliasing, few blur and high contrast.