  Pulsars have proven instrumental in exploring a wide variety of physics.
Pulsars at low radio frequencies is crucial to further our understanding of
spectral properties and emission mechanisms.The Murchison Widefield Array
Voltage Capture System (MWA-VCS) has been routinely used to study and discover
pulsars at low frequencies, offering the unique opportunity of recording
complex voltages ,which can be off-line beamformed or imaged at millisecond
time resolution.Devising imaged-based methods for finding pulsar candidates,
which can be verified in beamformed data, can accelerate the complete process
and lead to more pulsar detections by reducing the number of tied-array beams
required, increasing compute resource efficiency.Despite a factor of ~4 loss in
sensitivity, searching for pulsar candidates in images from the MWA-VCS, we can
explore a larger parameter space, potentially leading to discoveries of pulsars
missed by high-frequency surveys such as pulsars obscured in high-time
resolution timeseries data by propagation effects.Image-based searches are also
essential to probing parts of parameter space inaccessible to traditional
beamformed searches with the MWA.In this paper we describe the innovative
approach and capability of dual-processing MWA VCS data, i.e. finding pulsar
candidates in these images, and verifying by forming tied-array beam.We
developed and tested image-based methods of finding pulsar candidates, based on
pulsar properties such as spectral index, polarisation and variability.The
efficiency of these methodologies has been verified on known pulsars, and the
main limitations explained in terms of sensitivity and low-frequency spectral
turnover of some pulsars.No candidates were confirmed to be a new pulsar.This
new capability will now be applied to multiple observations to accelerate
pulsar discoveries with MWA and speed up future searches with the SKA-Low.
