Chaotic theory has been used in cryptography application for generating a sequence of data that is close to
pseudorandom number based on an adjusted initial condition and a parameter. However, data recovery becomes a crucial
problem due to the precision of the parameters. This difficulty leads to limited usage of Chaotic-based cryptography
especially for error sensitive applications such as voice cryptography. In order to enhance the encryption security and
overcome this limitation, an Adaptive Pixel-Selection using Chaotic Map Lattices (APCML) is proposed. In APCML,
the encryption sequence has been adaptively selected based on chaos generator. Moreover, the chaotic transformation
and normalization boundary have been revised to alleviate the rounding error and inappropriate normalization boundary
problems. In the experiments, the measurement indices of originality preservation, visual inspection, and statistical
analysis are used to evaluate the performance of the proposed APCML compared to that of the original CML.
Consequently, the APCML algorithm offers greater performance with full recovery of the original message.