Equator Technologies, Inc.

Qinggang Zhou

Robert J Gove

An image processing circuit compares a pixel value to a threshold value and modifies the pixel value if the pixel value has a predetermined relationship to the threshold value. Alternatively, the image processing circuit generates a random number and combines the random number with a pixel value. Such image processing circuits can be used to remove artifacts such as contour artifacts from a decoded electronic image or a sequence of decoded video frames.

Image processing circuit and method for modifying a pixel value

An image processing circuit includes a processor that receives a value of an original pixel of an original first video image and a value of an original pixel of an original second video image. The processor generates a first pixel-value component from the value of the original pixel of the first original video image, and generates a second pixel-value component from the value of the original pixel in the original second video image. From the first and second pixel-value components, the processor generates a value of a filler pixel, and combines the filler pixel and the original first video image to generate a resulting video image. One can use such an image processing circuit to generate a filler video field from an original video field and to merge the filler and original fields to generate a resulting video frame. Such an image processing circuit often uses less memory and detects inter-field motion more accurately than prior image processing circuits. Another aspect of the invention distinguishes thin lines from edges more accurately, and thus often produces fewer visual artifacts, than prior image processing circuits.

Circuit and method for generating filler pixels from the original pixels in a video stream

An image processing circuit includes a processor that receives at least a portion of an image including a boundary and first and second contiguous pixels disposed on opposite sides of the boundary, the first and second pixels having respective first and second pixel values. The processor generates a boundary value from the first and second pixel values, compares the boundary value to a comparison value, and reduces the difference between the first and second values if the boundary value has a specified relationship to the comparison value. For example, such a processing circuit can be used to reduce blockiness in an image that has undergone block-based digital compression.

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Chapel Hill, NC, United States of America

Qinggang Zhou