The area of digital image processing has witness a great deal of development during the past few decades. Image compression is one of most important aspects of the fields. The paper presents simple and efficient algorithm for compressing image data, the algorithm involved using the glory wavelet transform technique, which was the most usable method for varied image processing field due to its r...

Image compression plays a vital role in digital image processing. The need for image compression becomes apparent when number of bits per image are computed resulting from typical sampling rates and. quantization methods. For example, the amount of storage required for given images is (i) a low resolution, TV quality, color video image which has 512 x 512 pixels/color,8 bits/pixel, and 3 colors...

Convolutional neural networks (CNNs) learn filters in order to capture local correlation patterns feature space. We propose these as combinations of preset spectral defined by the Discrete Cosine Transform (DCT). Our proposed DCT-based harmonic blocks replace conventional convolutional layers produce partially or fully versions new existing CNN architectures. Using DCT energy compaction propert...

Digital watermarking technology is a very good method for protecting copyright. In this paper, in terms of requisition of imperceptibility and robustness of watermarking, the coefficient features of Discrete Cosine Transform (DCT) are introduced and a new image watermarking scheme based on Discrete Cosine Transform is proposed. Digital watermark is embedded in original image by subtle perturbat...

In this paper a new method for contrast enhancement based on the discrete cosine transform is discussed and implemented. The technique converts the image into DCT domain and the DCT coefficients are modified using proposed mask then the enhanced image is reconstructed using inverse DCT. The discrete cosine transform outperforms with better image quality and highest PSNR value for noiseless gray...