# A Hybrid Domain Color Image Watermarking Scheme Based on Hyperchaotic Mapping
###### Abstract
This separation makes the watermark embedding process more targeted; in particular, the brightness information to hide the watermark is more effective so as to ensure that the watermark is embedded at the same time and as far as possible to reduce the overall image quality of the potential impact [10]. [PERSON] et al. [11] proposed an efficient hardware-based image watermarking scheme based on Haar discrete wavelet transform (DWT). The system uses DWT technology to subtly embed key information fragments into digital content with excellent robustness, and also designs an ultra-large-scale integrated architecture based on FPGA. This architecture is specifically optimized for watermarking algorithms to accelerate the media authentication process. [PERSON] et al. [12] proposed an innovative hybrid robust blind image watermarking technology, which combines the advantages of DFT-DCT and Arnold transform, and significantly enhances the imperceptibility and robustness of the watermark. In the embedding process, the technology makes specific adjustments to the DCT coefficients of the intermediate band through the key. In order to ensure the security of the watermark, Arnold transform is used to encrypt the watermark before embedding. This method enables the watermark to maintain a high degree of invisibility in the face of multiple attacks, thereby effectively protecting the image content. [PERSON] et al. [13] proposed a reversible watermarking scheme based on wavelet transform. The cover image is divided into blocks, each block is transformed by wavelet transform as the carrier signal, and two different chaotic maps are used for encryption, which improves the security of the watermark image. [PERSON] et al. [14] proposed a new adaptive blind watermarking technique for deep forgery detection. This technique embeds the deep forgery detection information into the image, extracts the image without additional information and verifies the authenticity of the image. The scheme uses a combination of mixed modulation and partial symbol change mean to embed a set of coefficients. These coefficients not only maintain the image quality but also enhance the robustness against attacks. [PERSON] et al. (2015) designed a blind watermarking method for medical image authentication. This method embeds the patient's information into the computer's scanned copy in digital form, and applies the SHA-512 hash algorithm to process the watermark. The generated hash value is embedded into the digital copy of the scanned image to ensure the authenticity and integrity of the scanned copy. [PERSON] et al. (2016) proposed an adaptive image watermarking technique that combines discrete wavelet transform (DWT) and fast Walsh-Hadamard transform (FWHT). In this method, the cover image is first divided into blocks, and then the entropy value of each block is calculated. The watermark embedding factor is determined by the statistical characteristics of the transform coefficients in the high entropy block (such as mean, standard deviation, entropy and kurtosis), so as to realize the effective embedding of the watermark. [PERSON] et al. (2017) proposed an adaptive watermarking scheme for remote sensing images based on information complexity. The scheme first converts the remote sensing image from RGB color space to YCbCr color space, and performs two-stage discrete wavelet transform (DWT) on the brightness component. Subsequently, the scheme selects the high-frequency coefficients of the low-frequency component as the embedding area of the watermark. At the same time, in order to determine the best watermark embedding position, the image is further divided into blocks, and the entropy value of each sub-block is calculated. Finally, the sub-block with the largest entropy value is selected as the watermark embedding target. [PERSON] et al. (2018) proposed a robust color image watermarking method combining spatial domain and LU decomposition depth fusion.