A new multilevel reversible bit-planes data hiding technique based on histogram shifting of efficient compressed domain

Abstract

In this paper, we proposed a new technique for reversible data hiding based on efficient compressed domain with multiple bit planes. We conducted a sequence of experiments to use block division scheme to appraise the result with different parameters and amended the probability of zero point in every block of histogram. This scheme attained more embedding capacity and high-quality of stego-image. Experimental consequences prove that the proposed method effectively achieved the objective of high embedding capacity and sustaining the quality of image.

Efficient Lossless Compression Based Reversible Data Hiding Using Multilayered n-Bit Localization

“…The original image I is divided into noncoinciding size of blocks S and subsequently secret bits are embedded into each block B. The n-bit plane [33] for embedding data by modifying the histogram to generate a new image is further extracted for, respectively, pixels named localized bit-plane image truncation (LBPTI), in addition to increasing the EC to split the LBPTI into noncoinciding blocks to get additional concentrated neighbors histogram of topmost points. We find the value of topmost point for individually blocks B histogram while the right bordering point value of topmost point is + 1 and the left bordering point value of topmost point is − 1.…”

“…LBPTI method performs well on account of using histogram of cover-image to select the topmost value as reference value while embedding the secret bits through using neighboring points of topmost point as compared with Tain's method that emphasizes manipulation of pixels difference histogram. Moreover, the extra bits are controlled on different blocks level to sustain high EC and on lower EL level to gain high PSNR and maximum EC as compared with Lin et al [41], Liu et al [40], Pan et al [26], and Abbasi et al [33] techniques. Our tryout assumption attests that the LBPTI method effectively achieved the objective of high EC on lowest EL, different size of block level, and sustaining the extra bit and distortion of stegoimage.…”

“…Similarly, 2-to 5-bit plane increased high EC; however, lower PSNR ratio (118299 carry bit with 37 PSNR) and 3-to 8-bit plane achieved high PSNR but low EC (56.86 PSNR, 28811 carry bit, and 9964 extra bit). Abbasi et al [33] technique, 2 × 2 block size, has high EC growth rate with lower PSNR ratio (143,673 carry bit, 684,372 extra bit, and 49.18 PSNR) and, moreover, gains higher EC to 3-7-bit plane with 16 × 16 block division (45332 EC with 51.31 PSNR). We have gained higher EC also preserving the balance between EC and PSNR as 46921 EC with 51.33 PSNR as compared with previous technique; we can try to improve more EC on 3 to 6 embedding layers with high PSNR ratio up to 50 db.…”

“…In this paper RDH scheme is proposed on localized bit-plane truncation image (LBPTI) while extending [26,33] method without using secret key bit. In addition, the topmost reference point is chosen to embed secret bits.…”

Single image defocus estimation by modified gaussian function

“…These disturbances are of no interest and can limit the processing of images. Blur in image can be caused by camera shake; motion of the object; and phenomena of defocus . Many pictures are captured with a sharp foreground and defocus background .…”