Adaptive Deblocking of Images with DCT Compression
نویسندگان
چکیده
The discrete cosine transform (DCT) is widely used in image and video coding schemes. By applying the DCT to image blocks and quantizing the DCT coefficients, efficient image compression can be achieved. However, the quantization of the DCT coefficients introduces errors in the decompressed images, which appear as blocky artifacts. The blocky artifacts can be converted into “Gaussian-type” noise and removed via image denoising techniques. In this paper, an adaptive deblocking scheme has been developed to remove the blocky artifacts from images. Experimental results show that, with this adaptive approach, blocky artifacts have been successfully removed with improved peak signal-to-noise ratio (PSNR) values over the previous approach.
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