Image Compression and Denoising Algorithm based on Multi-resolution Discrete Cosine Transform
نویسندگان
چکیده
Discrete cosine transform (DCT) and wavelet transform coding system are the most popular image compression methods. Although DCT has outstanding energy compaction properties, blocking artifacts impact its performance. Wavelet avoids blocking artifacts; it is also the most popular approach to doing image compression and denoising simultaneously. However wavelet has higher computational complexity. Exploring an image in different resolutions reveals its dominant information in comparison to redundant one. We propose a novel multi-resolution DCT; based on our multi-resolution DCT, we propose a novel algorithm to do image compression and denoising simultaneously. Our algorithm achieves multi-resolution analysis, avoids blocking artifacts, has excellent energy compaction property and is ideal for parallel computing. Compared to wavelet, our algorithm has good computation accuracy and efficiency.
منابع مشابه
Digital Watermarking using Multiscale Ridgelet Transform
The multi-resolution watermarking method for digital images proposed in this work. The multiscale ridgelet coefficients of low and high frequency bands of the watermark is embedded to the most significant coefficients at low and high frequency bands of the multiscale ridgelet of an host image, respectively. A multi-resolution nature of multiscale ridgelet transform is exploiting in the process ...
متن کاملImplementation of VlSI Based Image Compression Approach on Reconfigurable Computing System - A Survey
Image data require huge amounts of disk space and large bandwidths for transmission. Hence, imagecompression is necessary to reduce the amount of data required to represent a digital image. Thereforean efficient technique for image compression is highly pushed to demand. Although, lots of compressiontechniques are available, but the technique which is faster, memory efficient and simple, surely...
متن کاملImage Compression using DCT and DWT - Technique
This paper provides comparison between two image compression technique such as DCT and DWT. Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) are the most commonly used transformation. DCT has high energy compaction property and requires less computational resources. On the other hand, DWT is multi-resolution transformation. PSNR and Compression ratio are one of the parameter...
متن کاملEmbedding Binary Image Watermark in DC Components of All Phase Discrete Cosine Biorthogonal Transform
Watermarking technique provides the possibility for copyright protection. Discrete cosine transform (DCT) is the most popular tool used in watermarking algorithm. But the watermarking algorithm based on DCT is not the most ideal choice in terms of the complexity and robustness. All phase discrete cosine biorthogonal transform (APDCBT) owns the characteristics of high frequency attenuation and g...
متن کاملA Modified Digital Image Watermarking Scheme Based on Nonnegative Matrix Factorization
This paper presents a modified digital image watermarking method based on nonnegative matrix factorization. Firstly, host image is factorized to the product of three nonnegative matrices. Then, the centric matrix is transferred to discrete cosine transform domain. Watermark is embedded in low frequency band of this matrix and next, the reverse of the transform is computed. Finally, watermarked ...
متن کامل