Using A Simple and Fast Image Compression Algorithm To Hide Secret Information

Chuang, Jun-Chou; Chang, Chin‐Chen

doi:10.1080/1206212x.2006.11441818

Cited by 24 publications

(46 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For each encoded edge block, the selected pattern or bitmap records the counter information of the block. If any bit in the bitmap is changed, then the image quality of the reconstructed edge block may become poor [8]. To lower the distortion, we embed the secrete data into the pattern of each uniform block rather than edge block.…”

Section: Data Embedding Phasementioning

confidence: 99%

See 1 more Smart Citation

An Information Hiding Scheme Using a Pattern-Based Compression Algorithm

Keissarian

2007

2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System

View full text Add to dashboard Cite

show abstract

Section: Data Embedding Phasementioning

confidence: 99%

“…Image compression used in some of these studies includes vector quantization (VQ) [7], and block truncation coding (BTC) [8].…”

Section: Introductionmentioning

confidence: 99%

An Information Hiding Scheme Using a Pattern-Based Compression Algorithm

Keissarian

2007

2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System

View full text Add to dashboard Cite

show abstract

“…Each trio consists two quantization levels and a bitmap. Chuang and Chang [23] proposed a data hiding method to embed data using direct bitmap replacement. If the difference between the two quantization levels is small, the bitmap modification insignificantly affects the visual quality of the decoded block.…”

Section: Introductionmentioning

confidence: 99%

“…Data hiding methods can be applied to images in spatial domain [6][7][8][9][10][11][12][13][14][15] or compress domain [19][20][21][22][23][24][25][26][27][28]. The spatial domain data hiding methods embed data by slightly altering the pixel values.…”

Section: Introductionmentioning

confidence: 99%

“…However, since images are often stored or transmitted in their compressed format, the compressed domain data hiding methods thus attract researchers to investigate new techniques in various compress domains. A number of compressed domain data hiding methods based on vector quantization (VQ) [19][20][21], joint photographic experts group (JPEG) [22], and absolute moment block truncation coding (AMBTC) [23][24][25][26][27][28] compressed images are proposed. Compared to VQ and JPEG, AMBTC requires less computing cost but achieves acceptable image quality.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Efficient Data Hiding Based on Block Truncation Coding Using Pixel Pair Matching Technique

Hong

2018

Symmetry

View full text Add to dashboard Cite

Abstract:In this paper, an efficient data hiding method that embeds data into absolute moment block truncation coding (AMBTC) codes is proposed. The AMBTC method represents image blocks by trios, and each trio consists of two quantization levels and an asymmetrically distributed bitmap. However, the asymmetric phenomena of bitmaps cause large degradation in image quality during data embedment. With the help of reference tables filled with symmetrical patterns, the proposed method exploits a symmetry adjustment model to modify the quantization levels in those smooth blocks to achieve the smallest distortion. If the block is complex, a lossless embedding method is performed to carry one additional bit. A sophisticated division switching mechanism is also proposed to modify a block from smooth to complex if the solution to the minimal distortion cannot be found. The payload can be adjusted by varying the threshold, or by embedding more bits into the quantization levels. The experiments indicate that the proposed work provides the best stego image quality under various payloads when comparing to the related prior works.

show abstract

A data embedding scheme for color images based on genetic algorithm and absolute moment block truncation coding

2008

View full text Add to dashboard Cite

Recently, embedding a large amount of secret data into gray-level and color images with low distortion has become an important research issue in steganography. In this paper, we propose a data embedding scheme by using a well-known genetic algorithm, block truncation code and modification direction techniques to embed secret data into compression codes of color images to expand the variety of cover media. In the scheme, the common bitmap generation procedure of GA-AMBTC has been modified to speed up the hiding procedure. Two embedding strategies are proposed to hide secret data into the common bitmap and the quantization values in each block of the cover image. Experimental results confirm that the proposed scheme can provide high data capacity with acceptable image quality of the stegoimages. Moreover, the compression ratio of the scheme is exactly the same as that of GA-AMBTC so that attackers cannot detect any trace of hidden data from the size of the modified compressed result.

show abstract

Using A Simple and Fast Image Compression Algorithm To Hide Secret Information

Cited by 24 publications

References 7 publications

An Information Hiding Scheme Using a Pattern-Based Compression Algorithm

An Information Hiding Scheme Using a Pattern-Based Compression Algorithm

Efficient Data Hiding Based on Block Truncation Coding Using Pixel Pair Matching Technique

A data embedding scheme for color images based on genetic algorithm and absolute moment block truncation coding

Contact Info

Product

Resources

About