Near-lossless image compression: minimum-entropy, constrained-error DPCM
IEEE Transactions on Image Processing
Demosaicing: image reconstruction from color CCD samples
IEEE Transactions on Image Processing
The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS
IEEE Transactions on Image Processing
MOMS: maximal-order interpolation of minimal support
IEEE Transactions on Image Processing
Forward-and-backward diffusion processes for adaptive image enhancement and denoising
IEEE Transactions on Image Processing
Hi-index | 0.00 |
We present a new approach to image interpolation using consistent relationships between adjacent pixels in an image. In the first stage, the localized relationships are learned from the input image. In the second stage, the relationships and the concluded governing rules are used to build an interpolated image. Our method is compared with other interpolation methods such as bilinear, bi-cubic and spline for enlargement of images by multiplications of 2. The results indicate significant reduction in the blockiness and smoothing effects compared to existing methods. We present additional results for related applications of audio signals and for color imaging.