Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Modified No Search Algorithm for Fractal Image Compression   Fractal image compression has some desirable properties like high quality at
high compression ratio, fast decoding, and resolution independence. Therefore
it can be used for many applications such as texture mapping and pattern
recognition and image watermarking. But it suffers from long encoding time due
to its need to find the best match between sub blocks. This time is related to
the approach that is used. In this paper we present a fast encoding Algorithm
based on no search method. Our goal is that more blocks are covered in initial
step of quad tree algorithm. Experimental result has been compared with other
new fast fractal coding methods, showing it is better in term of bit rate in
same condition while the other parameters are fixed.

22
The categories of this paper are: chao-dyn
4
The categories of this paper are: cond-mat
20
The categories of this paper are: acc-phys
5
The categories of this paper are: gr-qc
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
26
The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
0
The categories of this paper are: hep-ph
18
The categories of this paper are: econ
3
The categories of this paper are: physics
24
The categories of this paper are: dg-ga
19
The categories of this paper are: eess
29
The categories of this paper are: funct-an