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In this paper, we propose a method for effectively improving the quality of any upscaled image. Our underlying idea is to calculate a differential image in the process of rescaling the given image. Once the image is upscaled, the differential image is used to adjust the quality of the resulting upscaled image. Results show that our proposed method was able to effectively improve the quality of the...
For image compression, the better compression rate can be achieved by vector quantization (VQ) scheme, but the quality of the recovered image is about 27 to 30 dB in PSNR, and the methods about quality improvement is limited, so how to improve the VQ decompressed image¡¦s quality is a worth studying issue. In this paper, a new approach of VQ encoding is proposed, that we transform each image into...
With the growth of Internet, Image compression has become a popular issue. Since the traditional Vector Quantization (VQ) produces compressed images with a quality at about 27 to 30 dB or so, the techniques of quality improvement is limited. Thus in this paper, we proposed an adaptive image compression method based on VQ, which can adjust the encoding of the difference map between the original image...
Side match vector quantization method collects the possible codewords by using partial pixels of neighboring blocks. Furthermore, the state codebook design provides a way to improve compression ratio. In the complex content image, side match vector quantization method has a lower compression performance. The proposed method utilizes the property of discrete wavelet transform to save the computation...
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