Traditionally, processing an image stored in the compressed
form requires decompression first. Following manipulations,
the processed image is recompressed for storage. Manipulating images
in the semicompressed or transform domain appears to be an
effective way to reduce processing time. In this paper, new algorithms
for image interpolation in the Haar transform domain are proposed.
These algorithms perform interpolation by computing a new
subband using two different approaches. Experimental results indicate
that in addition to running faster in the transform domain, the
new algorithms produce images with qualities comparable to those
in the spatial domain. Applications are seen in conjunction with
Haar-based transforms such as the HCOMPRESS which is commonly
used for compression in space science imagery.