the data can be secured using various methods,
such as cryptography, watermarking, and steganography. For
secure communication, an image is utilized as the cover in image
steganography. Hiding the secret image requires a large number
of bits, thus you need a larger number of pixels in the cover, and
this reduces imperceptibility. In this paper, large capacity is
hidden in less space inside the cover. The secret image is
compressed by only one of the two compression methods, the
first is applied Huffman encoding and in the second method, the
secret image is compressed to approximately half its size. The
second method results in a higher Peak Signal-to-Noise Ratio
(PSNR) rating and greater robustness. The tent chaotic map is
used to obtain random locations. The secret image is hidden
using the Least Significant Bit technique (LSB) in the cover
pixels corresponding to resulting locations of the chaotic map in
the last bit, two, or three randomly, which provides a high level
of security. The complete method is carried out in MATLAB,
and the results are analyzed, which shows greater protection for
hidden information. According to the quantitative results, our
proposed technique gets the highest PSNR between 44.00 and
47.986.