We present results on the optimum reconstruction of chop data taken using t
he Submillimeter Common-User Bolometer Array on the James Clerk Maxwell Tel
escope. Using an artificial data set with known noise properties, we analyz
e three techniques for constructing images of the sky from the chop data: E
merson Fourier deconvolution, matrix inversion, and maximum entropy reconst
ruction. We conclude that a matrix inversion formulation via an iterative p
rocedure produces the best image reconstructions. We apply the three recons
truction techniques to produce maps of the calibration point source CRL 618
and the rho Ophiuchi A core at 850 mum and use Wiener filtering to remove
the high-frequency noise component from the matrix inversion method.