Abstract
In this paper, we provide a novel reversible data hiding method using adaptive block truncation coding based on an edge-based quantization (ABTC-EQ) approach. We exploit the characteristic not being used in ABTC-EQ. To accomplish this, we first utilized a Canny edge detector to obtain an edge image and classify each block in a cover image into two versions, edge-block and non-edge-block. Subsequently, k-means clustering was used to obtain three quantization levels and derive the corresponding bit map while the current processing block was the case of an edge-block. Then Zero-Point Fixed Histogram Shifting (ZPF-HS) was applied to embed the secret information into compressed code. The experimental results show that our method provides a high embedding capacity for each test image and performance is better than other methods.
Highlights
Due to the continuing advance of networks in recent years, it has become increasingly convenient and necessary for users to transmit messages to each other through the Internet
Compression flowcharts of block truncation coding (BTC) and adaptive block truncation coding based on edge-based quantization (ABTC-EQ algorithms): (a) BTC encoding coding based on edge-based quantization (ABTC-EQ algorithms): (a) BTC encoding and (b)
Our proposed scheme contains two phases: a data embedding phase and the data extraction and reviews the zero-point fixed histogram shifting (ZPF-Histogram Shifting Technique (HS)) that will be used for data embedding in recovery phase, which are demonstrated in Sections 3.2 and 3.3, respectively
Summary
Due to the continuing advance of networks in recent years, it has become increasingly convenient and necessary for users to transmit messages to each other through the Internet. Presented a method called generalized least significant bit, G-LSB for short, where they utilized a variant of an arithmetic compression algorithm (CALIC) [29] to encode a message and hide the resulting interval number along with extra information that was exploited to recover the cover image. In 2003, Tian [30] proposed a novel reversible information hiding method called difference expansion (DE) by embedding the secret message into the difference values between each pixel pair in a cover image. Proposed a reversible information hiding method based on BTC In their scheme, they embed the secret information into the bit map of each image block [19]. To solve the blocking effect problem while offering a reversibility feature, we utilized Zero-Point Fixed Histogram Shifting (ZPF-HS) to embed the secret information and adaptive block truncation coding based on edge-based quantization (ABTC-EQ) to improve image quality and obtain a high embedding capacity.
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