The approximated image model as a describer is automatically generated by the RBFPSO learning scheme, which is contained hybrid bacterial foraging particle swarm optimization (BFPSO) algorithm and recursive least-squares (RLS) iterations to deeply approach the image feature.
By analyzing the relationship between DCT coefficients of one block of 8×8 pixels and its four sub-blocks of 4×4 pixels, the proposed algorithm extract an approximated image with smaller size for indexing and content browsing without incurring full decompression.
While the computing cost is significantly lower than full decompression, the approximated image also reserves the content features, which are sufficient for indexing and browsing as evidenced by our extensive experiments.
No longer would computer printers be restricted to producing text and approximating images with standard typographic characters.
We analyze theoretically the subspace best approximating images of a convex Lambertian object taken from the same viewpoint, but under different distant illumination conditions.
Directly approximating images from biohash vectors may also be possible by integrating the PCA transformation with random projection matrix and solving the optimization problem by enforcing sparsity in the DCT or block-DCT domain.
The interactive user experience is difficult to communicate through still images, but can be approximated with image sequences and the accompanying video.
The goal of the app is to approximate images taken with a larger aperture (i.e. a synthetic aperture) than that of the cell phone camera.
Let the high, the middle, and the low resolution of our scenario correspond to,, and approximate images, respectively.
To prevent unsharp and approximate images, each projection has to be convolved with a predetermined mathematical function, the convolution kernel; this kernel represents a filtering procedure that is able to enhance or reduce object boundaries.
