Image enlargement technique is widely used in image processing and video format transforming. This paper proposes an
algorithm for fractional multiple image enlargement based on All Phase Discrete Cosine Transform (APDCT)
interpolation. The All Phase Digital Filter (APDF) is a new type of linear phase filter. For a data vector with a length of
N obtained by blocking a signal, there are N different phase data blocks that include the same sampling point. Through
taking the mean of the N values as the filtering output, the APDF can eliminate different meanings of the orthogonal
transform filtering values of those data vectors and thereby the block effect. According to this idea, this paper deduces
the formula of two-dimension APDCT filter. As a good integration of Discrete Cosine Transform (DCT) and all phase
idea, a family of separable interpolation kernel, which is constructed by cosine function, is put forward. Look-up method
is then discussed for real time image enlargement. The objective and subjective experiments show that better image
quality is obtained by using interpolation kernel proposed than using 6*6 cubic interpolation kernel.
Digital image inpainting is an interesting new research topic in multimedia computing and image processing since 2000.
This talk covers the most recent contributions in digital image inpainting and image completion, as well as concepts in
video inpainting. Image inpainting refers to reconstructing the corrupt regions where the data are all destroyed. A
primary class of the technique is to build up a Partial Differential Equation (PDE), consider it as a boundary problem,
and solve it by some iterative method. The most representative and creative one of the inpainting algorithms is
Bertalmio-Sapiro-Caselles-Bellester (BSCB) model. After summarizes the development of image inpainting technique,
this paper points the research at the improvement on BSCB model, and proposes two algorithms to solve the two
drawbacks of this model. The first is selective adaptive interpolation which develops the traditional adaptive
interpolation algorithm by introducing a priority value. Besides much faster than BSCB model, it can improve the
inpainting effects. The second takes selective adaptive interpolation as a preprocessing step, reduces the operation time
and improves the inpainting quality further.