Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Camera-Aware Multi-Resolution Analysis (CAMRA) for Raw Sensor Data
  Compression   We propose a novel lossless and lossy compression scheme for color filter
array~(CFA) sampled images based on the wavelet transform of them. Our analysis
suggests that the wavelet coefficients of HL and LH subbands are highly
correlated. Hence, we decorrelate Mallat wavelet packet decomposition to
further sparsify the coefficients. In addition, we develop a camera processing
pipeline for compressing CFA sampled images aimed at maximizing the quality of
the color images constructed from the compressed CFA sampled images. We
validated our theoretical analysis and the performance of the proposed
compression scheme using images of natural scenes captured in a raw format. The
experimental results verify that our proposed method improves coding efficiency
relative to the standard and the state-of-the-art compression schemes CFA
sampled images.

19
The categories of this paper are: eess
4
The categories of this paper are: cond-mat
11
The categories of this paper are: hep-lat
35
The categories of this paper are: mtrl-th
28
The categories of this paper are: alg-geom
3
The categories of this paper are: physics
21
The categories of this paper are: adap-org
37
The categories of this paper are: supr-con
25
The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys
30
The categories of this paper are: q-alg
2
The categories of this paper are: math
23
The categories of this paper are: solv-int
17
The categories of this paper are: q-fin
26
The categories of this paper are: bayes-an
12
The categories of this paper are: nucl-th