LOT coding for arbitrarily shaped object regions
Two coding methods for arbitrarily shaped objects in still images using the lapped orthogonal transform (LOT) are proposed. The LOT is applied to the projection onto convex sets (POCS) based algorithm and the shape adaptive-discrete cosine transform (SA-DCT) with the even number of basis vectors, Simulation results show improved reconstruction quality compared with the conventional methods.
lapped orthogonal transform (lot) projection onto convex sets (pocs) shape adaptive-discrete cosine transform (sa-dct) discrete cosine transform (dct) image coding pocs-based lot shape-adaptive shape adaptive lapped orthogonal transform (sa-lot)