JPEG-Based Image Enhancement Method with Steganographic Data Embedding and Its Performance Evaluation

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We propose a concrete configuration that enables a sender who has high resolution images to embed high frequency components of the images in the JPEG codes for lower resolution images using steganographic data embedding method. In this configuration, public receivers of the JPEG files can decode low resolution images, while specific receivers who know the fact that the high frequency components are embedded in the JPEG files can obtain high resolution images by extracting the embedded enhancement codes. For this purpose, three key methods are developed: a construction method for 16×16 higher frequency quantized DCT coefficients in the encoder, an embedding method to 8×8 lower resolution quantized DCT coefficients in the encoder, and an extraction method for the enhancement codes in the decoder. Moreover, it is clarified that the embedding operation for the enhancement codes can be omitted under specific conditions. As a result of simulation experiment that employ the proposed key methods are executed using natural images, the performance of the system is evaluated in terms of a total amount of enhancement codes, a relationship between quantization quality factors for lower and higher frequencies, a payload for embedding enhancement codes, and SNR characteristics.

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