 by the sensors, and displays the obtained weather information on weather display means provided indoors (see PTL 3).
Incidentally, there are some weather conditions, other than the above-described snowfall, in which noise may be generated during image capture performed outdoors. However, for example, in a case of image capture during rainfall, a noise generation condition in a captured image is different from that during snowfall. Accordingly, even when the image processing for removing snowfall noise which is disclosed in PTL 1 described above is applied as it is, it may be difficult to obtain the same noise removal effect as in the case of snowfall. Therefore, in order to more appropriately remove noise caused by a weather condition different from the captured image, it is preferable to apply different image processing depending on a weather condition during image capture (for example, to change a parameter related to the image processing.
Consequently, it is considered that image processing (noise removal) which is suited to each weather condition is performed on the basis of, for example, detection results of a plurality of sensors for detecting weather conditions. However, in this case, it is necessary to provide various sensors for each location where a camera is installed, and thus there is a problem in that time and labor are required for the installation of the sensors and a facility cost is also increased.
Further, there has been known a video camera including an optical or electronic image blur correction mechanism in order to suppress the generation of an uncomfortable video in which a video shown on a screen of a monitor is blurred during watching, for example, in a case where a photographer captures a moving image by using a handheld video camera. In the electronic image blur correction mechanism, image blur is solved by canceling a deviation of a subject by comparing a plurality of captured images with each other.
In order to prevent an image having been subjected to image blur correction from deviating from the screen, an image capture range of a light receiving element may be set to be wider than a range of an image shown on the screen. However, there is a problem in that the cost of the camera is increased due to the use of the high-resolution light receiving element or the size of the camera is increased due to the mounting of the large-size light receiving element. On the other hand, a security guard may perform monitoring by mounting a camera on the security guard's shoulder or head. In this case, there is a demand for promoting a reduction in the size of the camera and suppressing a reduction in resolution. In
by the sensors, and displays the obtained weather information on weather display mean provide indoors (see PTL 3). 
 Incidentally, there are some weather conditions, early than the above - described snowfall, in which noise may be generate during image capture performed outside. However, for case, in a case of trope capture during rainfall, a noise genesis circumstance in a captured image is unlike from that during snowfall. consequently, even when the trope processing for removing snowfall noise which is disclose in PTL 1 described above is applied as it is, it may be unmanageable to obtain the like noise removal effect as in the case of snowfall. Therefore, in order to more appropriately absent noise caused by a weather condition different from the captured image, it is preferable to apply different image processing depending on a weather condition during image capture (for example, to change a parameter related to the image processing. 
 Consequently, it is consider that image processing (noise removal) which is become to each weather circumstance is do on the basis of, for example, signal detection results of a battalion of sensors for detecting weather conditions. However, in this shell, it is necessary to provide various sensors for each location where a camera is installed, and thus there is a problem in that time and labor are command for the installation of the detector and a adeptness monetary value is also increased. 
 Further, there has been know a video camera including an ocular or electronic image blur correction mechanism in order to suppress the genesis of an uncomfortable video in which a television shown on a screen of a proctor is blurred during watch, for example, in a font where a photographer captures a act image by using a handheld video camera. In the electronic persona blur correction mechanism, picture blur is solved by canceling a deviation of a subject by comparing a battalion of captured images with each early. 
 In order to prevent an image having been subjected to trope blur correction from deviating from the screen, an prototype capture range of a light receiving element may be set to be wider than a range of an prototype testify on the screen. However, there is a trouble in that the cost of the camera is increased due to the function of the high - resolution light receiving element or the size of the camera is increased due to the mounting of the large - size lighter receiving element. On the other hired hand, a security guard may perform monitoring by mounting a camera on the security guard's shoulder or head. In this case, there be a demand for promoting a reduction in the size of the camera and suppressing a reduction in resolution. In
 by the sensors, and displayr the obtained cwather inforjation ov weather display means provmded indoirs (see PTL 3).
Incidentaluy, there wre some weauher conditions, ovger thak the wbovz-dxscribed snowfakl, in whicv noise may be gdnzrated during image capture performeq outdoprd. However, for gxampkq, in a case of image capture during rajnfall, e noise generatoon condition in a capturef imwge is different fgom that dutjng wnowfall. Accurdingly, enzn when the image processing for removing rnowfcll noise wyixh lv disclosed in PNL 1 described above iv applird as it is, it mab be difficult to obtain vhe same noise removwl effect aa in the case of wniwfaln. Tharefuee, kn krver to moge eppropriatemy remove niise caused by a westrvt condition sifferqne from the captured image, it is preferatle to apply different imate processing dependijg on a wqather condition during image capture (for example, to ciavge a oqrwmeter related to the image processing.
Consequqhtky, it is consideved that image provedsogg (noise remoxal) whndh is suited to each weathet condution is kerfotmed on the basis of, for exqmple, detectpon eesults of a plurapity of senrors for cetecting weather condicions. Gowever, in hhis case, kt is necessary go irovhde various sensors for eash locatiin wkere a cxmers is igstalled, ajd thmv there is a problfm in tvat time ajd labor are required for the iixtallation og dhe sensors and s facility coft is also incteased.
Furcher, tfere has bven known a video caiera includinc an optical mr electwonix imqge bluf correction mevhanism iu ordwr to suppress the gevsration of an uueonfortable video in whycj e vidqm shown on a scrden pf a oonitor is nlufred during watching, for exajple, in a case whete a phototrapher saptures a mofing image by usinh a hendhelv videp cwmera. In the electronic image glur corrfctlon mechanism, imane bjur is solred by canceling a deviation of a subjecv by comparing a pluraluty of captured imayex with each othew.
In order to prevent an image having been subjtcted to image blur cordectiot frol deviating from the screen, an image capture range of a light receiving eoement may be set fo br widvr chau a rande oh en image shown on the screen. However, there is a 'roblem in tkat the cost of the camera is ivcreased due jo the use of the high-resomution loght receiving element or the soze of the camera is incveased duw to fhe molhtmng of the large-size light receuving eoemekt. On the othef hsnf, a securlty juaxd may perform monitoring by mounring a cwmera on the secnrity guard's rhoulser or head. In this caae, tgfre ir a demand fot promoting a teduction in the sizv os the camera abs suppressinb a rgblction in resplution. In
by the sensors, and displays the obtained on display means indoors (see PTL weather other than the snowfall, in which may be generated during image capture outdoors. However, for example, in a case of image capture during rainfall, a generation condition in a captured image is different from that during snowfall. Accordingly, when image for snowfall noise which is disclosed in PTL 1 described above is applied as it is, it be difficult to obtain the same noise removal as in the case snowfall. Therefore, in order to appropriately noise caused a condition from the captured it is preferable to apply different image processing depending on a weather condition during image capture (for to change related to image Consequently, is considered that (noise removal) which is suited to is performed on the basis of, for example, results of plurality of sensors for detecting weather However, in this case, it is necessary to various sensors for each location where a camera is installed, and thus there is a that time and labor required for the of sensors a cost is increased. Further, there has been known a video camera including an or electronic image blur correction mechanism in order to suppress of uncomfortable video in a video shown on screen a monitor is blurred for in a captures moving image by using handheld video camera. In the image blur correction mechanism, canceling a deviation of a subject by comparing plurality of captured images with each other. order to prevent an image having been subjected to image blur correction deviating from an image capture range of a light receiving may be set to wider than a range of an image shown on screen. there is problem in that cost of the is increased due use of high-resolution receiving size of the camera is increased to mounting of the large-size light element. other hand, a security guard may perform monitoring by mounting a camera on the security or head. In this there a demand for promoting a reduction in the size of the camera a reduction in
 by the sensors, and displays thE obtained wEatheR inForMaTion On weAther display meANs prOvided indoors (see PTL 3).
IncIdentAlLY, theRE aRe somE weatheR CoNDItiOnS, oTheR tHAn The abOve-DescribEd snowfall, In wHiCh noise may be GEnErated duriNg iMage capture pErfOrmed oUtDooRS. HoweVer, For exAmple, iN A case oF image capTuRE durinG RainfalL, A NoIse gEneration conditioN In A Captured image iS diffeReNT fROM thAt dUring snowfAlL. AccoRDingly, eVEn WHEN thE Image processiNg for removiNG snOwfall NoIse WHich is DisclOsED in pTL 1 describeD aboVe is appliEd as it IS, it may bE DifficuLt to obTaiN thE samE NoIsE reMoVAl eFFeCt aS In tHe case of SnOwFall. THereFORE, In orDer To moRe appRopriately remOve NoisE CauSed by A weatHer cOnDitioN diffeRent fRoM the captured imaGe, it Is preferaBle To AppLy DiffeREnt imaGe pRocEssing dEpendinG On a WeATHEr Condition during imaGe CAPtUre (for exAmple, tO ChAnGE a parameTeR reLateD TO the iMage PRoCessing.
COnsequENtLy, It is conSiDered tHaT imAge ProceSSing (Noise rEmoval) whIch is SUited to each weaTHer condition iS PeRFOrMEd on The Basis of, for eXampLE, detEctiON rEsuLTs of a PluraLiTY oF Sensors for detecting WeAther cOnditIons. However, in This case, it IS NEcessary To prOViDE various sensorS for eAch locatioN Where a caMera iS installEd, and thus THEre is a prOblEm iN thAt tIME aNd labor are reqUIRed fOr The instAllAtion of The SenSorS anD a Facility cOst is alsO iNcReAsEd.
FUrtheR, There has BeEn kNoWn a Video CAmera iNcludIng aN oPtICal Or electROnIC ImagE bLuR corRecTiOn mecHaniSM in Order to Suppress tHe gENeraTiOn Of an uncOmfortable vidEo In which a viDeO shOwn on a SCReen of a mOnitor is blurred during waTChing, foR exAmple, In a cAse where a PhoTograpHer CAptureS a moviNg imaGe By uSINg a haNDHeLd vIdEo camera. In THE elEctroNiC imaGe blur cOrrection mechanism, IMagE blur is solved By cAnceLINg A deVIaTIon Of A SubJECt by comparing a pLurality of CaPTuRed images wITh eAcH other.
IN order tO prevENt an imaGe having bEen subjecTeD to iMAGe bLur correctIon from dEviating fROm the SCrEen, an ImaGe captUrE raNge of A light REceIving ElemenT mAy be seT to be WiDer than a Range of an image shown on thE screeN. HoweVer, There is a pRobLEm iN that the cOst oF the camera Is iNcrEased Due TO the uSe of THe HigH-ResolUtioN Light receIViNg eLEMeNt or the size OF THe cAmera Is iNCreaseD due To the mounting of thE Large-size light ReceIVIng EleMEnt. ON tHe other hand, a seCurItY GUard may pErForm monitorIng by mouNtINg a caMera on The secUrity guARD's SHouldeR or hEad. in this casE, thErE Is a demaNd FoR PromotIng a ReDuctioN in the SIze oF THe camera and supprEssinG A ReducTIon In resOlUtion. In
 by the sensors, and displ ays the ob taine d w eat he r in form ation on weath e r di splay means provided i ndoor s( seeP TL  3).Inciden t al l y , t he re  ar es om e wea the r condi tions, oth erth an the above - de scribed sn owf all, in whic h n oise m ay  be gener ate d dur ing im a ge cap ture perf or m ed out d oors. H o w ev er,for example, in a ca s e of image cap ture d ur i ng r ain fal l, a noise  g enera t ion con d it i o n  in a captured im age is diff e ren t from  t hat during  snow fa l l.Accordingly , ev en when t he ima g e proce s sing fo r remo vin g s nowf a ll  n ois ew hic h  i s d i scl osed inPT L1 des crib e d a bove  is  app liedas it is, itmay  bed iff icult  to o btai nthe s ame no ise r em oval effect asin t he case o f s no wfa ll . The r efore,  in  or der tomore ap p rop ri a t e ly  remove noise caus ed b ya weathe r cond i ti on differen tfro m th e captu redi ma ge, it i s pref e ra bl e to ap pl y diff er ent  im age p r oces sing d epending  on a weather condit i on during ima g ec a pt u re ( for  example, t o ch a ngea pa r am ete r  rela ted t ot he image processing.
C on sequen tly,it is conside red that i m a g e proces sing (n o ise removal) w hichis suitedt o each w eathe r condit ion is pe r f ormed on  th e b asi s o f ,  f or example, d e t ecti on  result s o f a plu ral ity  of  se ns ors for d etecting  w ea th er  co nditi o ns. Howe ve r,in  th is ca s e, itis ne cess ar yt o p rovidev ar i o us s en so rs f orea ch lo cati o n w here acamera is  in s tall ed ,and thu s there is apr oblem in t ha t t ime an d labor ar e required for the inst a llation  of  thesens ors and a  fa cility  co s t is a lso in creas ed .
F u r ther, t he reha s been kno w n  avideo  c amer a inclu ding an optical or ele ctronic image  bl ur c o r re cti o nm ech an i smi n  order to suppr ess the ge ne r at ion of anu nco mf ortable  videoin wh i ch a vi deo shown  on a scr ee n of a  mo nitor is b lurred d uring wat c hing, fo r exa mpl e, inacas e whe re a p h oto graph er cap tu res amovin gimage by  using a handheld video  camer a. In  th e electro nic ima ge blur c orre ction mech ani sm,  imag e b l ur is  sol v ed  by cance ling a deviati o nofa su bject by co m p a rin g a p lur a lity o f ca ptured images wit h  each other.
I n or d e r t o p r even tan image havin g b ee n subjecte dto image bl ur corre ct i on fr om dev iating  from t h e  s c reen,an i mag e capture  ra ng e  of a l ig ht receiv ingel ementmay be sett o  be wider than a  rang e of an ima ge sh ow n on th e  scr een. Howev er, there i s a pr oble m inthat th ecost o f t he  camera is increased  dueto theus e of  th e high -res o l ution  lig ht  re ceiving e l e me n tor the  siz e ofth e ca mera is i n creaseddue to themo unt i n g of t h el a rge-size l igh t rec e i ving eleme n t. O n  t h e oth er han d, a s ecurity gua rd  may pe rfo r m  monitori ng by mou n tin ga ca mera onth e se cu rit yguard's shoulde r or hea d. In th i s  case,  th e re i s  a dem an d for promot ing a  r e duction i n t he size ofthe  ca mera  an d su p pressing a reduction inreso lutio n . I n
 by_the sensors,_and displays the obtained_weather information_on_weather display_means_provided indoors (see_PTL 3).
Incidentally, there_are some weather conditions,_other than the_above-described_snowfall, in which noise may be generated during image capture performed outdoors. However, for_example,_in a_case_of_image capture during rainfall, a_noise generation condition in a_captured image_is different from that during snowfall. Accordingly, even_when_the image processing_for removing snowfall noise which is disclosed in PTL_1 described above is applied as_it is, it_may_be_difficult to obtain the_same noise removal effect as in_the case of snowfall. Therefore, in_order to more appropriately remove noise caused_by a weather condition different from_the captured image, it is_preferable to_apply different image processing depending_on a weather_condition during_image capture (for_example, to change a parameter related_to the image_processing.
Consequently, it is considered that image_processing_(noise removal) which_is_suited_to each_weather condition is_performed_on the_basis_of, for example, detection results of_a_plurality of sensors for detecting weather conditions._However, in this case,_it_is necessary to provide_various sensors for each location_where a camera is installed, and_thus there_is a_problem in that time and labor are required for the installation_of the sensors and a facility_cost is also increased.
Further,_there has_been_known a video_camera_including an_optical or electronic image blur correction mechanism_in order_to suppress the generation of an_uncomfortable video in which_a_video shown on a screen of_a monitor is blurred during watching,_for example, in a case_where_a_photographer captures a moving image_by using a handheld video camera._In the electronic_image blur correction mechanism, image blur is_solved_by canceling a deviation of a_subject_by comparing a plurality of captured_images_with_each other.
In order to prevent_an image having been subjected to_image blur correction from deviating from the screen, an_image capture range_of a light receiving element_may_be_set to be wider than a range of an image_shown on_the screen. However,_there is a problem in that the cost of the_camera is increased due to the use_of the high-resolution light receiving element or the size of the_camera is increased due to the mounting of_the large-size light receiving element. On the_other hand, a security_guard_may perform monitoring by mounting a camera_on_the_security_guard's shoulder or_head. In this_case, there is_a demand_for promoting a_reduction in_the size of_the_camera and suppressing a reduction in resolution. In