Image and video compression are active areas of research due to the increasing demand for efficient storage of visual data in a wide variety of fields. Popular image compression schemes are often based on block-transform coding. Block-transform coding is susceptible to blocking artifacts, particularly at low bit-rates due to quantization errors. This paper addresses this problem by presenting an algorithm based on shifted thresholding that reduces blocking artifacts in block-transform compressed images and video. The algorithm is designed to be hardware-efficient and well-suited for parallel hardware implementation, using purely integer computations without the need for integer division. Experimental results demonstrate good subjective quality improvements that are comparable with previous work while maintaining a low computational complexity.
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