Abstract: An image processing apparatus includes: a first noise removing part which performs color noise removing process for a first color image signal having a predefined color space, a transforming part which transforms the first color image signal subjected to the color noise removing process by the first noise removing part into a second color image signal having a color space including a luminance signal and a color difference signal, and a second noise removing part which performs color noise removing process for the second color image signal.

Abstract: An image processing apparatus includes: a conversion unit converting a first color image signal including a predetermined color space into a second color image signal including a color space having a luminance signal and a color difference signal; a color determination section determining a color of each pixel of the first color image signal or the second color image signal; and a noise removal unit performing a noise removal process by changing a noise removal strength with respect to the color difference signal in accordance with the color determined by the color determination section.

Abstract: An image processing device includes: a peripheral objective pixel random acquiring section acquiring pixels obtained by sampling peripheral pixels located in a periphery of a marked pixel which is marked at random with respect to the marked pixel of pixels corresponding to an objective image as an object of noise removal as peripheral objective pixels as pixels used for filtering for noise removal; and a noise removing section carrying out filtering for the noise removal by using the peripheral objective pixels.

Abstract: A method of adaptive local image similarity measurement based on the L1 distance measure is described. A relationship between distance measures is used to estimate appropriate thresholds for various patch sizes. The choice of patch size depends on the degradations contained in the image and the application. The relation between the similarity measures is established using the distribution of L1 distances for various patch sizes. For larger degradations, similarity measure with a bigger patch size is employed. For lesser imperfections, a smaller patch size produces acceptable results. To keep the computational overhead manageable, the smallest patch size that gives the desired image quality is employed.

Abstract: An image processing apparatus includes: a conversion unit converting a first color image signal including a predetermined color space into a second color image signal including a color space having a luminance signal and a color difference signal; a color determination section determining a color of each pixel of the first color image signal or the second color image signal; and a noise removal unit performing a noise removal process by changing a noise removal strength with respect to the color difference signal in accordance with the color determined by the color determination section.

Abstract: An image processing apparatus includes: a first noise removing part which performs color noise removing process for a first color image signal having a predefined color space, a transforming part which transforms the first color image signal subjected to the color noise removing process by the first noise removing part into a second color image signal having a color space including a luminance signal and a color difference signal, and a second noise removing part which performs color noise removing process for the second color image signal.