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Hence, crypto-steganography has become an integral part of secret communication in various applications, ranging from image confidentiality in medical informatics to secured data transfer in sensor-based wireless networks. The challenge for researchers in IoT and embedded systems is to work under resource-constrained environments while preserving image quality and achieving computational efficiency. However, most of the current approaches consider cryptography and steganography as independent techniques, which often leads to higher computation overhead, reduced imperceptibility with increased payload, and low cryptographic security. Addressing these limitations, this work proposes a lightweight and unified crypto-steganographic approach whereby encryption is integrated into the embedding operation. A dual Piecewise Linear Chaotic Map (PWLCM) randomizes the reading order of payload and pixel embedding positions, while an in-place XOR transformation combines each payload bit with selected bits of pixels prior to embedding. The integration of Huffman compression effectively increases payload capacity, and multi-format support for lossless cover images (, , ) and input file formats (, , ) extends practical applicability. Experimental evaluation with both grayscale and color images shows very high imperceptibility, with peak PSNR values reaching\n                    <jats:inline-formula>\n                      <jats:tex-math>$$\\varvec{77.42dB}$$<\/jats:tex-math>\n                    <\/jats:inline-formula>\n                    and SSIM of approximately\n                    <jats:inline-formula>\n                      <jats:tex-math>$$\\varvec{1.0}$$<\/jats:tex-math>\n                    <\/jats:inline-formula>\n                    for smaller payloads, while sustaining the PSNR above\n                    <jats:inline-formula>\n                      <jats:tex-math>$$\\varvec{51dB}$$<\/jats:tex-math>\n                    <\/jats:inline-formula>\n                    even for a full capacity of\n                    <jats:inline-formula>\n                      <jats:tex-math>$$\\varvec{166,336}$$<\/jats:tex-math>\n                    <\/jats:inline-formula>\n                    characters. Also, embedding and extraction remain less than\n                    <jats:inline-formula>\n                      <jats:tex-math>$$\\varvec{1.6}$$<\/jats:tex-math>\n                    <\/jats:inline-formula>\n                    seconds. Further, the robust statistical undetectability allows RS Analysis, Sample Pairs Analysis, and Chi-Square tests to be evaded even at high payload capacities. A key space of more than\n                    <jats:inline-formula>\n                      <jats:tex-math>$$\\varvec{1.2483 \\times 2}^{\\varvec{199}}$$<\/jats:tex-math>\n                    <\/jats:inline-formula>\n                    ensures high cryptographic strength. All these observations together establish that the proposed approach is a lightweight embedding technique that can be used for big data, provides high cryptographic security and maintains image quality, hence is appropriate for low-resource situations.\n                  <\/jats:p>","DOI":"10.1007\/s11042-026-21459-4","type":"journal-article","created":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T08:03:58Z","timestamp":1772611438000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Enhancing image security: a lightweight crypto-steganographic approach for optimal quality"],"prefix":"10.1007","volume":"85","author":[{"given":"Kenneth Stephen","family":"Dsa","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7807-7874","authenticated-orcid":false,"given":"K Abhimanyu Kumar","family":"Patro","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,3,4]]},"reference":[{"key":"21459_CR1","doi-asserted-by":"publisher","first-page":"8963","DOI":"10.1007\/s00500-023-09130-8","volume":"28","author":"AA Abdulla","year":"2024","unstructured":"Abdulla AA (2024) Digital image steganography, challenges, investigation, and recommendation for the future direction. 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All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest\/Competing interests"}},{"value":"Not applicable. This study does not involve human participants, animal experiments, or any ethical concerns requiring institutional approval.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable. The manuscript does not include identifiable human data or personal information requiring consent.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}}],"article-number":"255"}}