A computationally efficient method to improve the quality of JPEG images based on linear modelling

抄録

We propose a novel linear interpolation-based method to enhance the quality of widely-used JPEG images, which suffer from compression artifacts. Our approach focuses on restoring quantized DCT coefficients that have been rounded to zero during the JPEG quantization step. By employing a simple linear interpolation technique in the frequency domain, our method offers a computationally efficient solution with computational cost growing linearly with the number of restored coefficients. Experimental results on standard test images demonstrate that our method can improve the PSNR by 0.6 to 1.0 dB.